yusuke1997/dblp-id-title huggingface dataset:
Automatic source identification of monophonic musical instrument sounds
Estimating the multivariate conditional density using relatively sparse training data pairs
Neural fuzzy agents that learn profiles and search databases
Algorithms for optimal linear combinations of neural networks
Performance of multilayer neural networks in binary-to-binary mappings under weight errors
Silicon models of visual cortical processing
An application of neural networks in adaptive information retrieval
An autonomous, adaptive optimization control system with cooperative fuzzy reasoning and a neural network for large scale process operations
Identification of a PUMA-560 two-link robot using a stable neural network
Neural network approach to traveling salesman problem based on hierarchical city adjacency
Design of an elliptical neural network with application to degraded character classification
Nonlinear system process prediction using neural networks
Internal states of pulse-type hardware neuron model with chaotic dynamics
Enhancing technical analysis in the forex market using neural networks
Networks that approximate vector-valued mappings
Perspective reversal caused by chaotic switching in PDP schema model
Design and implementation of neural network logic circuits with global convergence
A continuous approximation for the intersection of two hyper-spheres in the Boolean space
Acquiring semantic power in a "weightless" neural network
A generalized backpropagation algorithm for faster convergence
A noise annealing neural network for global optimization
Hierarchical classification with a stochastic competitive evolutionary neural tree
Markov gated experts for time series analysis: beyond regression
An escape method from local minimum by orbital correction method for controller learning
Hopf bifurcation and Hopf hopping in recurrent nets
A novel fuzzy based algorithm for radial basis function neural network
EEG pattern recognition-arousal states detection and classification
Generic texture analysis applied to newspaper segmentation
Off-line signature verification using fuzzy ARTMAP neural network
Perturbation analysis of a class of neural networks
A feature projection based adaptive pattern recognition network
Acquisition of fuzzy rules using fuzzy neural networks with forgetting
Escape from the speed down areas on training of backpropagation algorithm by using a jumping method
A review of a hybrid neural network: Kohonen learning vector quantization and counterpropagation
Application of neural network to marine vehicle
Neural implementation of fuzzy K-NN classification for seismic pattern recognition
A VLSI friendly neural network with localised transfer functions
VLSI architecture for analog bidirectional pulse-coupled neural networks
Spectral noise-shaping in integrate-and-fire neural networks
New approach for solving the travelling salesman problem using self-organizing learning
Learning in reactive sequential decision tasks: the CLARION model
Prediction of bifurcation from chaotic circuit with RBF
The truth is in there: current issues in extracting rules from trained feedforward artificial neural networks
The use of multilayered perceptrons for remote sensing classification with temporal data
Modelling spatio-temporal trajectories and face signatures on partially recurrent neural networks
Controlling Chaos in Chaotic Neural Networks
Hierarchical ensemble of neural networks
On viewing the transform performed by a hidden layer in a feedforward ANN, as a complex Mobius mapping
Evaluating artificial neural networks for medical applications
A simple steepest descent method for minimizing Hopfield energy to obtain optimal solution of the TSP with reasonable certainty
Reinforcement learning method for DEDS supervision
An extension to the Hayashi coupled oscillator network training rule
Periodic Chaos Neural Network
Sensitivity analysis of an analog circuit model of lamprey unit pattern generator
Utilising artificial neural network and repro-modelling in turbulent combustion
Possibilistic reasoning in a computational neural network
A hierarchical decision module based on multiple neural networks
The application of wavelet neural networks to nonlinear predictive control
Knowledge extraction from hierarchical fuzzy model obtained by fuzzy neural networks and genetic algorithm
Hardware implementation of an artificial neural network
Solving combinatorial optimization problems by nonlinear neural dynamics
Analogue optoelectronic implementation of a neural network with in-situ learning
HIERtalker: a default hierarchy of high order neural networks that learns to read English aloud
Optimization schemes for learning the forward and inverse kinematic equations with neural network
A hybrid neural network approach to the pricing of options
Investigation of periodic time series using neural networks and adaptive error thresholds
Performance of two neural receiver structures in the presence of co-channel interference
Analog CMOS current-mode implementation of the feedforward neural network with on-chip learning and storage
A multilayer perceptron network for the diagnosis of low back pain
An edge enhancement technique for analog VLSI early vision applications
A simple, biologically motivated neural network solves the transitive inference problem
Handling uncertainty in neural networks: an interval approach
Recognition of handwritten connected numerals based on dual cooperative neural network
Sensitivity analysis for input vector in multilayer feedforward neural networks
A neural network based ATM call admission controller for multiple service classes with different QoS
Soft-competitive-growing classifier with unsupervised fine-tuning
Psychologically plausible features for shape recognition in a neural network
Categorizing Web documents using competitive learning: an ingredient of a personal adaptive agent
Universal approximation using dynamic recurrent neural networks: discrete-time version
Nonlinear system control via feedback linearization using neural networks
A real-time stepwise supervised learning algorithm for time-series prediction and system identification
Robust learning algorithms for multi-layer perceptrons with discretized synaptic weights
Efficient indexing for object recognition using large networks
Signal representation using adaptive Wave-Net
A learning method to control the frequency of the oscillatory neural network
Unsupervised learning and generalization
A sensory information processing system using neural networks
A linear transform that simplifies and improves neural-network classifiers
Neural network identification and control in the presence of noise
Mapping of multilayer perceptron networks to tree shape parallel neurocomputer
Nonstandard A/D conversion based on symmetric neural networks
An evolutionary programming-based probabilistic neural networks construction technique
Selection of minimum training data for generalization and online training by multilayer neural networks
A neural network model for real-time adaptive clustering
Low level modeling of the development of directionally selective microcircuits in cat striate cortex
A new associative memory which inhibits a meaningless output
Identifying contact formations from force signals: a comparison of fuzzy and neural network classifiers
Noninvasive diagnosis of delayed gastric emptying from cutaneous electrogastrograms using neural networks
A knowledge-based approach for fault detection and isolation in analog circuits
A neural network based classifier for the identification of simple finger motion
Range image segmentation using an oscillatory network
Efficient estimation of dynamically optimal learning rate and momentum for backpropagation learning
Global asymptotic stability criteria for multilayer recurrent neural networks with applications to modelling and control
Neural network controller for rearrangeable switching networks
Nearest neighbor rules PAC-approximate feedforward networks
Statistical pattern recognition with neural networks: benchmarking studies
A modified Hamming neural network with different thresholds and multi-valued weights
Avoiding weight-illgrowth: cascade correlation algorithm with local regularization
Identification and dynamic data rectification using state correcting recurrent neural networks
Context modeling in a hybrid HMM-neural net speech recognition system
Capacity of the associative memory using the Boltzmann machine learning
On optimal radial basis function nets and nonlinear function estimates
A fault tolerant Chinese bank check recognition system based on SOM neural networks
Multi-sensor fusion model for constructing internal representation using autoencoder neural networks
Neural networks for modeling and identification of the dough rising process inside an industrial proofing chamber
A clustering algorithm using evolutionary programming
A brain-state-in-a-box network for narrative comprehension and recall
Experiments with learning rules for a single neuron
Engram decay in artificial neural networks
Neural network approach to fault detection in electric power systems
Determination of the LPC coefficients using neural networks
Analysis and implementation of a VLSI neural network
A new unsupervised learning algorithm for the placement of centers in a radial basis function neural network (RBFNN)
Application of sequential reinforcement learning to control dynamic systems
Application of neural networks aided target tracking
A new LMS-based algorithm for rapid adaptive classification in dynamic environments: theory and preliminary results
Dynamic structure adaptation in feedforward neural networks-an example of plant monitoring
Synaptic delay based artificial neural networks and discrete time backpropagation applied to QRS complex detection
Integrating rules and neural computation
Power curves for pattern classification networks
Design of discrete coefficient FIR filters using fast simulated evolutionary optimization
Adaptive averaging in higher order neural networks for invariant pattern recognition
Effects of structural adjustments on the estimate of a spectral radius of error matrices
Can recurrent neural networks learn natural language grammars?
Towards self organizing cache memories using neural networks
Computational properties and auto-organization of a population of cortical neurons
Fuzzy min-max neural networks for function approximation
Properties of learning of a fuzzy ART variant
A neural network classifier for conflicting information environments
Frequency sensitive Hebbian learning
Experimental analysis of input weight freezing in constructive neural networks
Synchronization using an adaptive threshold in a biologically inspired spatiotemporal neuron
Focus of expansion estimation with a neural network
Context analysis by the gamma neural network
An optical Fourier/electronic neurocomputer automated inspection system
Preventing local minima by decorrelation
Generic flaw detection within images
Cascade-CMAC neural network applications on the color scanner to printer calibration
Text-independent speaker identification using a hybrid neural network and conformity approach
Initializations, back-propagation and generalization of feed-forward classifiers
Relaxation labeling and associative memory
Experiments that reveal the limitations of the small initial weights and the importance of the modified neural model
Feature extraction from wavelet coefficients for pattern recognition tasks
Sparse initial topologies for high order perceptrons
The effects of reduced precision bit lengths on feedforward neural networks for speech recognition
A fuzzy classifier based on partitioned hyperboxes
Data fusion and nonlinear tracking filter implementation using multilayer networks
Solving the bipartite subgraph problems using strictly digital neural networks with virtual slack-neurons
A novel memoryless nonlinear gradient algorithm for a second-order adaptive IIR notch filter
World-centered representation for neural networks
Behavior-driven minimal implementation of digital ANNs
FuzzyProp: a symbolic superstrate for connectionist models
Entropy-driven structural adaptation in sample-space self-organizing feature maps for pattern classification
An investigation on local minima of a Hopfield network for optimization circuits
Twofold type of backpropagation neural network
Locating anatomical landmarks for prosthetics design using ensemble neural networks
MOTION ESTIMATION BY USING A NEUROMIMETIC APPROACH
Neural plant inverse control approach to color error reduction for scanner and printer
Pruning and rule extraction using class entropy
A hybrid technique to enhance the performance of recurrent neural networks for time series prediction
Generalized potential function neural net classification
Real-time control of industrial manipulator vibration using artificial neural networks
Stochastic neural networks for solving job-shop scheduling. I. Problem representation
Minor component analysis with implementation to blind 2-channel equalization
Parrot-like speaking using optimal vector quantization
Inner retina interactions mediate edge detection. A CNN analysis of neuronal function
Implementation of fuzzy systems using multilayered neural network
The N-R method of acquiring multi-step reasoning production rules based on NN
A logarithmic neural network architecture for unbounded non-linear function approximation
Tracking endocardial border motion in ultrasonic images by using neural networks and ARIMA modelling techniques
Temporal structure in neural networks with impulse train connections
An associative memory based on the immune networks
Neural prediction of missile dynamics during hardware-in-the-loop captive-carry experiments
A hardware supported system for a special online application of self-organizing map
Backpropagation for linearly-separable patterns: A detailed analysis
Adaptive equalization using the complex backpropagation algorithm
A comparative study of layered neural networks on misclassification in pattern recognition
Radial basis function network with short term memory for temporal sequence processing
Towards connectionist rule-based systems
Relaxation neural network for nonorthogonal image transforms
Neural network construction using multi-threshold quadratic sigmoidal neurons
A neighborhood map of competing one step predictors for piecewise segmentation and identification of time series
Constructive learning of recurrent neural networks
Neural network identification of digital satellite channels: the adaptive nonlinear enhancer
A parallel hybrid genetic algorithm simulated annealing approach to finding most probable explanations on Bayesian belief networks
Incorporating additional hint neurons in recurrent neural networks to improve convergence
On initialization of neural network
Capabilities of three-layered perceptrons
Linguistic rule extraction from neural networks and genetic-algorithm-based rule selection
Face recognition using hybrid classifier systems
Modeling liquid phase oxygenation process using neural network
Estimation of environment models using vector field and its application to robot's contact tasks
Autonomous fault diagnosis system using learning with queries
Adaptation from fixed weight dynamic networks
Artificial intelligence in financial markets
Evolutionary computation for figure-ground separation
Preserving visual perception by learning natural clustering
Ensemble pruning algorithms for accelerated training
A probabilistic extension for the DDA algorithm
A neural mechanism for hyperacuity in jamming avoidance response of electric fish eigenmannia
Building a generic architecture for robot hand control
Optical neural networks for image analysis: imaging spectroscopy and production systems
Pulse coded cellular neural network and it's hardware implementation
Automated analysis of CT images for the inspection of hardwood logs
Stopped training via algebraic online estimation of the expected test-set error
Reduction of symbolic rules from artificial neural networks using sensitivity analysis
Associative ability of higher order neural networks
Hierarchical control system based on unsupervised fuzzy-neuro system
Frequency-domain vibration control using adaptive neural network
Using reinforcement learning to solve the labyrinth game, a nonlinear control application
Feature selection and classifiers for the computerized detection of mass lesions in digital mammography
Device calibration of a color image scanner digitizing system by using neural networks
Dynamic fuzzy reasoning model with fuzzy cognitive map in Chinese chess
Sensorimotor coordination and sensor fusion by neural networks
Further cross talk reduction of associative memory and exact data retrieval
Production rule extraction
A new orthogonal neural network
Bit-vector optimization algorithms for control of learning in neurons with second-messenger dynamics
Learning critical temperature for homomorphic ARG matching by self-organising Hopfield network
Mutual information feature extractors for neural classifiers
A neural network with Hebbian-like adaptation rules learning visuomotor coordination of a PUMA robot
Application of neural networks to fluorescent diagnostics of organic pollution in natural waters
Counterpropagation network and time-frequency shift-tolerant preprocessing for phoneme recognition
New neural networks for adaptive control of robot manipulators
Stone impact damage to automotive paint finishes-a neural net analysis of electrochemical impedance data
Sensory fusion: integrating visual and auditory information for recognizing speech
Fuzzy perceptron learning and its application to classifiers with numerical data and linguistic knowledge
A comparative study of fully and partially recurrent networks
Neural networks mediating linearizable dynamic redundant sensori-motor reflexes characterized by minimum of Hermitian norm
Time optimal control using pi-sigma networks
Information backpropagation for blind separation of sources in nonlinear mixture
Orthogonal projections and the assignment problem
A parallel approach to plastic neural gas
Realization of bidirectional associative memory using a pseudo-parallel searching approach
A hybrid fuzzy-neural control system for management of mean arterial pressure of seriously ill patients
A connectionist approach for default inference and conflict resolution
A fuzzy neural hybrid system modeling
Probing technique for neural net fault detection
Inverse mapping of continuous functions using feedforward neural networks
Classification with learning k-nearest neighbors
Incorporating functional knowledge into neural networks
Analyzing the structure of a neural network using principal component analysis
Use of fractional powers to moderate neuronal contributions
Classification of human cognitive processes by the use of an improved neural backpropagation network
Computational neural networks
Stable encoding of spatial structure by a recurrent neural network in the presence of noisy data
An improved elastic net method for the traveling salesman problem
Generalization of the cross-entropy error function to improve the error backpropagation algorithm
Recurrent neural network with self-adaptive GAs for biped locomotion robot
Hardware realization of higher-order CMAC model for color calibration
Discrete-time adaptive control of feedback linearizable nonlinear systems using neural networks
Design of fault tolerant neurocontrollers using immunization technique
Prediction-based networks with ECG application
Using CMAC neural networks and optimal control
Neighbour-based MLPs
Learning in fuzzy neural networks
Tissue characterisation with NMR spectroscopy: current state and future prospects for the application of neural networks analysis
On tool wear estimation through neural networks
Geometric error correction using hierarchical/hybrid artificial neural systems
Nonlinear prediction on squid axon response
Efficient strategies for error updating to improve performance backpropagation learning
An algebraic projection analysis for optimal hidden units size and learning rates in back-propagation learning
A stochastic architecture for neural nets
A neuron that learns to separate one signal from a mixture of independent sources
A self adaptive object oriented implementation of an analog ARTMAP neural network
Neural networks on fatigue damage prediction
Combining fossil and sunspot data: committee predictions
Intelligent control method using cubic neural network with multi-levels of information abstraction
Methodology for the construction of more efficient artificial neural networks by means of studying and selecting the training set
A hybrid neural network for spatio-temporal pattern recognition
Neural logic hybrid system for currency option trading
Bounds for hidden units of simple recurrent networks
Harmonic control of a planar complex using limited-path-guidance learning
A direct adaptive method for faster backpropagation learning: the RPROP algorithm
Linear neural network learning algorithm analysis
Discovery of Linguistic Rules by Hidden Information Maximization
Multimodule associative memory for many-to-many associations
An analog VLSI front-end for auditory signal analysis
A comparative study of recurrent neural network architectures on learning temporal sequences
Effects of clock skew in iterative neural network and optical feedback processors
Segmentation of medical images through competitive learning
Distributed global optimization (DGO)
Radial basis function network based power system stabilizers for multimachine power systems
Comparison of dynamic feature map models for environmental monitoring
The use of neural networks in PSRI target recognition
Pulse density neural network system using simultaneous perturbation learning rule
A new local linearized least squares algorithm for training feedforward neural networks
Constructing principal manifolds in sparse data sets by self-organizing maps with self-regulating neighborhood width
Fast DSP implementation of high-dimensional vector classifier
Noise corrupted pattern retrieval capability for sparsely encoded associative memory
A robust hybrid controller for robotic manipulators using neural and H ∞ techniques
A connectionist model of human grasps and its application to robot grasping
Design of adaptive and incremental feed-forward neural networks
Learning to understand sentences in a connectionist network
Cascade correlation: derivation of a more numerically stable update rule
DP matching-based spoken digit recognition using LVQ
Fuzzy logic, neural networks, and brain-like learning
Small, fast runtime modules for probabilistic neural networks
Texture segmentation using Gaussian Markov random fields and LEGION
Parallel architectures for vector quantization
Real-time head detection
Neural basis for the design of fractional discriminant functions
Optimizing the hard address distribution for sparse distributed memories
Retaining diversity of search point distribution through a breeder genetic algorithm for neural network learning
Tracking moving objects using adaptive resolution
CMAC learning is governed by a single parameter
Evaluation of training and mapping Sigma-pi networks to a massively parallel processor
A neural production system and its application in visual-guided mobile robot navigation
Noniterative learning in perceptrons implemented by an ultrafast-learning character-recognition scheme
Identification of fixations in reading eye movements by a multi-layer neural network
Online prediction of multiprocessor memory access patterns
Development of 3D-input device using adaptive control
Medical diagnostic expert system based on PDP model
Object recognition system with perceiving subjective contours
FUN: optimization of fuzzy rule based systems using neural networks
Feature reduction based on analysis of fuzzy regions
MLP classifiers: overtraining and solutions
Proceedings of International Conference on Neural Networks (ICNN'97), Houston, TX, USA, June 9-12, 1997
NetFAN-a structured adaptive fuzzy approach
An evolutionary neural network algorithm for max cut problems
Modular neural network architectures for classification
Two-stage neural network for volume segmentation of medical images
A new adaptive image sequence coding scheme using Kohonen's SOFM
Application of neural networks in circuit analysis
Combined SOM and LVQ based classifiers for handwritten digit recognition