yusuke1997/dblp-id-title huggingface dataset:
An inverse model learning algorithm using the hierarchical mixtures of experts
Two-bit weights are enough to solve vehicle license number recognition problem
Extending the FPE and the effective number of parameters to neural estimators
A high-dimensional SOFM vector quantizer with weightless neural predictor
Using neural network for parts inspection
Defect prediction for reactive ion etching using neural networks
Multiresolution elementary tonotopic features for speech perception
How many clusters?: A Ying-Yang machine based theory for a classical open problem in pattern recognition
Random attractors for initial memory codes
Neural network isolation of system inputs for transient modelling and control
Nonlinear model predictive controller using neural network
Multi-reference neighborhood search for vector quantization by neural network prediction and self-organized feature map
A hierarchical Bayes approach to nonlinear time series prediction with neural nets
Relaxing backpropagation networks as associative memories
Supervised estimation of random variables taking on values in finite, ordered sets
A display oriented technique for interactive pattern recognition by multilayer neural network
Coactive neuro-fuzzy modelling for colour recipe prediction
Optimal parallel back-propagation schemes for mesh-connected and bus-connected multiprocessors
Embedding coupled oscillators into a feedforward architecture for improved time series prediction
Connectionist-network auction algorithm for the assignment problem
Implementation of RBF type networks by MLP networks
Blind bilevel image restoration using Hopfield neural networks
Adaptive neural network filter for visual evoked potential estimation
Evolutionary artificial neural networks for competitive learning
Dynamical neural network for solving a class of nonlinear equation systems
An analysis of coincidence detector networks
Three-dimensional pose from two-dimensional images: a novel approach using synergetic networks
Comparison of brain structure to a backpropagation-learned-structure
Generation of traveling wave mode in a chained neural oscillator network model
Recursive least squares approach to learning in recurrent neural networks
Dynamic neural networks for input-output linearisation
The application of neural networks to anti-skid brake system design
Learning chaotic dynamics in recurrent RBF network
Penalty formulation for 0-1 linear programming problem: a neural network approach
Robust adaptive neurofilters with or without online weight adjustment
An integrated model of visual recognition with contextual dependency
A self-organizing neural network for learning and generating sequences of target-directed movements in the context of a delta-lognormal synergy
Optimal neural network for solution of Lyapunov equation
VHDL-based design of biologically inspired pitch detection system
Robust identification for unknown nonlinear multivariable systems based on dynamic neural networks
A new model for bidirectional associative memories
Multiple networks for function learning
A neural network model for trajectory formation of a redundant manipulator
A multilayer cooperative/competitive method for creating hierarchical structures by clustering maximally-related nodes
On self-consistent sensory-motor learning algorithm
Backpropagation: past and future
Neural computation for controlling the configuration of 2-dimensional truss structure
A local approach for a fuzzy error function used in multilayer perceptron training through genetic algorithm
A comparison of maximum entropy estimation and multivariate logistic regression in the prediction of axillary lymph node metastasis in early breast cancer patients
Improved dynamic bit allocation in image coding using a self-organizing map with learning vector quantization
Pipelined neural tree learning by error forward-propagation
A universal structure for artificial neural networks
On the convergence of feedforward neural networks incoporating terminal attractors
Classification of plant species from CTFM ultrasonic range data using a neural network
Ratio pulse arithmetic for radial basis function network
A learning strategy for multilayer neural network using discretized Sigmoidal function
Adaptive neural networks for tariff forecasting and energy management
Stereo matching by neural network that uses Sobel feature data
Learning and generalization in a coulombian network
Spontaneous Coordinated Behavior of Robots through Reinforcement Learning
Physiological engineering model of the retinal horizontal cell layer
A new neural network based sequence estimator in non-Gaussian noise environment
Optimization by neural networks
A hybrid neural networks based machine condition forecaster and classifier by using multiple vibration parameters
Sigma-delta modulation neural networks
An improved expand-and-truncate learning
Acceleration of back propagation through initial weight pre-training with delta rule
Hierarchical growing cell structures
SplitNet: learning of tree structured Kohonen chains
Annealing networks and fractal landscapes
The probability distribution of parameters learned with the EM algorithm
Lagrange programming neural networks for blind Volterra system modelling
A neural net architecture for various learning processes on AC skin analysis
Effects of analog multiplier offsets on on-chip learning
'NEURAL-MAINE': intelligent on-line multiple sensor diagnostics for steam turbines in power generation
On the cost effectiveness of logarithmic arithmetic for backpropagation training on SIMD processors
Learning the correlation of beam position monitors for Pohang synchrotron light source using neural networks
Vector quantization of residual images using self-organizing map
The use of feedforward neural networks to cancel nonlinearities of dynamic systems
Detection of tonals in lofargrams using connectionist methods
Prediction of system marginal price in the UK Power Pool using neural networks
Fuzzy regression analysis by neural networks with non-symmetric fuzzy number weights
An analysis of noisy recurrent neural networks
Stochastic arithmetic implementations of neural networks with in situ learning
Improved backpropagation training algorithm using conic section functions
Switched-current chaotic neural network with chaotic simulated annealing
A convergence theorem for incremental learning with real-valued inputs
Two point training for complex plane transformation
Design of fuzzy inference systems using regression trees
An ANS based helicopter transmission diagnostic system
A model of dynamic associative memory
A new model with neural network structure for nonlinear identification
On image correspondence using topology preserving mappings
Self-organizing maps for analyzing mammographic findings
Recognition algorithm using evolutionary learning on the random neural networks
Selective attention adaptive resonance theory (SAART) neural network for neuro-engineering of robust ATR systems
A learning algorithm for improved recurrent neural networks
Neural network for wind power generation with compressing function
Fast modelling and control of unknown nonlinear systems via neural networks
A self-tuning fuzzy controller design
A learning architecture for control based on back-propagation neural networks
Proceedings of International Conference on Neural Networks (ICNN'88), San Diego, CA, USA, July 24-27, 1988
A general auto-associative memory model
On improved learning algorithms with adaptive parameter regulation in feedforward nets
Artificial neural networks and the simulation of human movements in CAD environments
A rule-based channel equalizer with learning capability
Stability theorem for lateral inhibition networks that is robust in the presence of circuit parasitics
Memory based processor array for artificial neural networks
CMHNN: a constructive modular hybrid neural network for classification
A note on the effective number of parameters in nonlinear learning systems
Extensions of principal component analysis for nonlinear feature extraction
Parallel stochastic grammar induction
A neural network model of hippocampally mediated trace conditioning
Design and implementation of neuro-based discrete Walsh transform processor
Anti-Hebbian synapses as a linear equation solver
Using genetic algorithms with grammar encoding to generate neural networks
Combined mutually connected neural network model for higher order association
Neural network reference compensation technique for position control of robot manipulators
A neuro-emulator with learning and virtual emulation capabilities
Short term prediction of sales in supermarkets
Textured image segmentation via neural network probabilistic modeling
A decision feedback recurrent neural equalizer for digital communication
The analytical solution of gamma filter model
Parallel implementation of time delay neural networks for phoneme recognition
GBAM: a general bidirectional associative memory model
Process models and network complexity
Controlling A Chaotic Neural Unit
Integration of neural networks with knowledge-based systems
Stability analysis techniques for competitive neural networks with different time-scales
Intelligent decisions and dynamic coordination: properties of geometrical representation by generalized frames intrinsic to neural and robotic systems
Calculus relations in spatial summation and determination of macro connection in neuronal networks
Automatic speech recognition using hidden Markov models and artificial neural networks
Color and intensity information representations by a network of turtle retinal ganglion cells
Hybrid neural network system for cloud classification from satellite images
Fusion of integrated multisensor data for tool wear monitoring
A neural network framework for low-level representation and processing in computer vision
A hierarchical system for character recognition with stochastic knowledge representation
Tuning Hopfield neural network by a fuzzy approach
A parallel recurrent cascade-correlation neural network with natural connectionist glue
Application of neural networks for real time control of a ball-beam system
A neuromorphic controller with a human teacher
Neural networks based traffic prediction for cell discarding policy
Implementation of O(n) complexity max/min circuits for fuzzy and connectionist computing
High order orthogonal tensor networks: information capacity and reliability
On-line sensing of drill wear using neural network approach
Parallel consensual neural networks
Time-optimal terminal control using neural networks
Signal estimation with neural networks for multipath mobile communications
Task decomposition and competing expert system-artificial neural net objects for reliable and real time inference
Stock ranking: neural networks vs multiple linear regression
Pulsed noise-based stochastic optimization with the Hopfield model
A neural controller for collision-free movement of general robot manipulators
New invariant pattern recognition system based on preprocessing and reduced second-order neural network
Global and local weight sharing
Phase transitions and bifurcations in visual perception
A hippocampal model implementation using VLSI table-look-up and model-based approaches
CLF networks with dynamic attention phase
Application of neural network model for ore boundary delineation based on geophysical logging data
A neuro-fuzzy approach with pairwise comparisons
Identification of high noise time series signals using hybrid ARMA modeling and neural network approach
Construction of neural networks for piecewise approximation of continuous functions
A new approach for the automatic generation of membership functions and rules of multi-variable fuzzy system
Probabilistic neural networks for classification, mapping, or associative memory
A generalized updating rule for modified Hopfield neural network
Neural networks of combination of forecasts for data with long memory pattern
Modeling of unsteady heat conduction field by using composite recurrent neural networks
Neural networks and child language development: a simulation using a modular neural network architecture
Learning rate adaptation achieved in unsupervised competitive learning: an application to noise cancelling
Feature Representation of Motion Trajectories
Dual cascade networks for blind signal extraction
Using a hyper-ellipsoid clustering Kohonen for autonomous mobile robot map building, place recognition and motion planning
Neural network based object recognition in images
Speaker recognition with a self-configuring neural network
Fuzzy ART neural network approach for incipient fault detection and isolation in rotating machines
Comparison of CMACs and radial basis functions for local function approximators in reinforcement learning
The effects of analog hardware properties on backpropagation networks with on-chip learning
Image retrieval system capable of learning the user's sensibility using neural networks
Dynamic input/output linearization using recurrent neural networks
Graduated assignment graph matching
Neural and cognitive modeling of analogical reasoning
A neural model of sequential memory
Applying adaptive structured genetic algorithm to reasoning and learning method for fuzzy rules using neural networks
A neuro-fuzzy model reduction strategy
Minimum searching by extended Hopfield model
Evaluation of the performance of various artificial neural networks to the signal fault diagnosis in nuclear reactor systems
Improved convergence for output scaling of a feedforward network with linear output nodes
Efficient cross-validation for feedforward neural networks
Robotic modeling and control using a fuzzy neural network
Using neural networks for undithering
On the mapping of linear classification trees onto one-hidden-layer neural nets
Hopfield neural network and genetic algorithm, a comparison in the case of hierarchical graph visualization
A hierarchical anticipatory neural controller with fuzzy spectral filter diagnostics
Neuroanatomy of neural networks of the vestibular system: vestibular maculas as prototypic neuronal networks
PANTHER: a parallel neuro-systolic architecture for real-time processing
On the use of backpropagation in associative reinforcement learning
Capacity Bounds for Simple Recurrent Networks
A comparison of criterion functions for a neural network applied to binary detection
Non-stationary texture segmentation using an AM-FM model
Lambda learning rule for feedforward neural networks
Detecting oscillations in neural networks via frequency domain analysis
Thalamo-cortical interactions modeled by forced weakly connected oscillatory networks
Neural network adaptive control of the penicillin acylase fermentation
An artificial neural network accelerator for pulse coded model-neurons
Preprocessing of biomedical images for neurocomputer analysis
Recognition-based segmentation of on-line cursive Korean characters
Incorporating state space constraints into a neural network
Application of a high speed analog neural network chip in the first level RZ-trigger of the H1-experiment at HERA
Performance measures for neural nets using Johnson distributions
Tiling algorithm with fitting violation function for analog neural array
Memory capacity of artificial neural networks with high order node connections
Artificial neural networks facilitate bispectral analysis of electroencephalographic data
Reinforcement learning when visual sensory signals are directly given as inputs
A Visual Cortex Circuit Model for Orientation Specificity
Hash-coding in CMAC neural networks
Estimation of texture element size and regularity in feature space
Simultaneous information maximization and minimization
Handwritten Hindi character recognition using multilayer perceptron and radial basis function neural networks
On the importance of sorting in "neural gas" training of vector quantizers
Neural network models and their application to handwritten digit recognition
Investigation of generalization ability by using noise to enhance MLP performance
A construction method of feedforward neural network for selecting effective hidden nodes
Numerical studies of resonance in a sinusoidally driven chaotic neuron model and its network
An experimental evaluation of neural network approach to circuit partitioning
Intelligent mobile robot
A goodness-function for trained fuzzy neural networks
Simple recurrent networks as generalized hidden Markov models with distributed representations
Dynamical properties of neural networks with product connections
Correctness, efficiency, extendability and maintainability in neural network simulation
Hardware architecture of a neural net based retina implant for patients suffering from retinitis pigmentosa
Regularized SOM-training: a solution to the topology-approximation dilemma?
Neural network for optimization of existing control systems
Theory and applications of sparsely interconnected feedback neural networks
Stochastic neural networks for solving job-shop scheduling. II. architecture and simulations
Real time recurrent neural networks for time series prediction and confidence estimation
On Thai character recognition
General memory neural network-extending the properties of basis networks to RAM-based architectures
Classification of metal transfer mode using neural networks
Neural speech enhancement using dual extended Kalman filtering
An efficient adaptive input quantizer for resetable dynamic robotic systems
Neural net pruning-why and how
Design of controller for nonlinear system using dynamic neural unit model
An optimizing FAMLB rules algorithm for traffic control in ATM communication networks
Efficient estimation of dynamically optimal learning rate using higher order derivatives
The use of fuzzy membership in network training for isolated word recognition
Sales forecasting using neural networks
Image estimation and compensation based on correspondence technique
Gender classification of human faces using hybrid classifier systems
An efficient algorithm for the binary classification of patterns using MLP-networks
An integration of neural networks and nonmonotonic reasoning for power system diagnosis
An adaptive attentive learning algorithm for single-layer neural networks
Neural net simulation with MUSIC
A neural network image classification system for automatic inspection
Function approximation in the framework of evidence theory: a connectionist approach
Neural networks for ocean engineering
Backpropagation using generalized least squares
Nonequilibrium dynamics in neural networks consisting of excitatory and inhibitory populations
A VLSI BAM neural network chip for pattern recognition applications
Multiscale image factorization
Invariant pattern recognition of 2D images using neural networks and frequency-domain representation
A multi-lingual speech recognition system using a neural network approach
QRS detection using morphological and rhythm information
A sparse matrix approach to neural network training
Vectorized backpropagation and automatic pruning for MLP network optimization
Force directed self-organizing map and its application to VLSI cell placement
A constructive learning algorithm for an HME
The selective integration neural network model of lightness perception
Neuro-aided guidance system for optimum desulphurization treatment in torpedo cars
Neural Networks with Missing Values Attributes
Adaptive critic based neurocontroller for autolanding of aircraft with varying glideslopes
Intact egg freshness quality inspection using neural networks
An asynchronous neural network model for shortest path problem
Optimising neural network weights using genetic algorithms: a case study
Comparative analysis of fuzzy inference systems implemented on neural structures
Digital implementation of discrete-time cellular neural networks with distributed arithmetic
Parallel computation of neural networks in a processor pipeline with partially shared memory
Bond rating: a nonconservative application of neural networks
Low bit rate coding of image sequences using neural networks
Adapting the 2-class recursive deterministic perceptron neural network to m-classes
Neural trees for image segmentation
Dynamical properties of threshold automata with nearest-neighbor interactions on a regular lattice
A distributed adaptive control system for a quadruped mobile robot
Using evolutionary programing to create neural networks that are capable of playing tic-tac-toe
Stability and discriminative properties of the AMI model
Chaotic Potts spin
The need for improved reinforcement learning techniques in intelligent agents
Colour bake inspection system using hybrid artificial neural networks
A structural learning algorithm for multi-layered neural networks
Temporal multidirectional associative memory: adaptable, continuous, and self-connected MAM
A statistical neural network for high-dimensional vector classification
Meshed snakes
From batch to recursive outlier-robust identification of non-linear dynamic systems with neural networks
Perceptron neural network to evaluate soybean plant shape
Radial basis functions and multilayer feedforward neural networks for optimal control of nonlinear stochastic systems
Combining neural networks for protein secondary structure prediction
Strategies for visual navigation, target detection and camouflage: inspirations from insect vision
2-D object recognition using Fourier Mellin transform and a MLP network
An efficient stock market forecasting model using neural networks
Backpropagated adaptive critic neurofuzzy controller for nonlinear dynamic system
A new method for the analysis of neural reference model control
Design of controller for nonlinear system using chaotic neural networks
Application of recurrent neural network for short term load forecasting in electric power system
Synaptic coding of periodically modulated spike trains
A neural network approach to nondestructive evaluation of complex structures, with application to highway bridges
Self-Organizing Feature Maps with Self-Organizing Neighborhood Widths
JPEG post processing image enhancement
Levenberg-Marquardt training for modular networks
Inserting background knowledge in perceptrons through modification of the learning algorithm
A continuous-time optical neural network
Building fuzzy systems by soft competitive learning
Backpropagation topologies for sequence generation
A conic section function network synapse and neuron implementation in VLSI hardware
Pulp digester level prediction using multiresolution networks of locally active units
Training a neural network with conjugate gradient methods
Bipolar pattern association using a recurrent winner take all network
Relevant features selection with radial basis neural networks
Some learning models of visual system based on local sensory signals integration learning
A fault tolerant optimal interpolative net
A dynamic neural network architecture by sequential partitioning of the input space
Design of radial basis function networks using decision trees
An incremental learning method with recalling interfered patterns
Self-organizing neural networks for class-separability features
Pruning via Dynamic Adaptation of the Forgetting Rate in Structural Learning
Comparison of extracted rules from multiple networks
Areas vs. layers: biological aspects of neural network design
Analysis of Linsker-type Hebbian learning: rigorous results
A quickly trained ANN with single hidden layer Gaussian units
Constructing stochastic networks via β-RBF networks
Smart air-conditioning system using multilayer perceptron neural network with a modular approach
Intersection learning for bidirectional associative memory
Equilibrium parameters recovery for experimental data in ASDEX Upgrade elongated plasmas
The cellular neural network as a retinal camera for visual prosthesis
A spatio-temporal neural network model of saccade generation
Information maximization for feature detection and pattern classification by autoencoders
Speaker identification based on the time-delay hierarchical mixture of experts
An optical neural network based on distributed holographic gratings for ATR
Artificial neural network model for analysis of power system harmonics
Neural nets, random design and reverse engineering
Fiber bundles and receptive neural fields
Minimum entropy methods in neural networks: competition and selective responses by entropy minimization
Real-time models of classical conditioning