yusuke1997/dblp-id-title huggingface dataset:
Forward propagation universal learning network
A training technique for fuzzy number neural networks
A sliding mode controller with neural network and fuzzy logic
Learning in the hypercube
Multiple neural network filtering for in-flight calibration of satellite measurements
Image compression using topological maps and MLP
Determination of the number of components in Gaussian mixtures using agglomerative clustering
Adaptive networks as a model for human speech development
Solving the generalised quadratic assignment problem using a self-organising process
The neural network modelled POCS method for removing blocking effect
A new distance measure for online character recognition
A high resolution CMOS winner-take-all circuit
Reinforcement control via action dependent heuristic dynamic programming
A dual neural network for shortest-path routing
Implementation of neural networks using quantum well based excitonic devices-device requirement studies
Distortion invariant character recognition by a multi-layer perceptron and back-propagation learning
A thalamic electric oscillator for interhemispheric communication
Comparative analysis of some neural network architectures for data fusion
A neural network component in a texture classification system
Employing shape to aid magnetic resonance brain segmentation
An incremental unsupervised learning scheme for function approximation
Neural network techniques for a physiological rooted analysis of auditory brain stem average evoked responses (ABSR)
Bimodal sensor integration on the example of 'speechreading'
A neural network for model order selection in signal processing
BEXA: set covering vs. neural network knowledge acquisition-a comparative review
Fuzzy rule extraction from a trained multilayer neural network
Hybrid learning algorithm with low input-to-output mapping sensitivity for iterated time-series prediction
A fuzzy neural network architecture for fuzzy control and classification
A pseudo outer-product based fuzzy neural network
An analog wavelet transform chip
Genetic algorithms for clustering, feature selection and classification
Visualization of neural networks using saliency maps
Casasent network density estimation
Classification of chromosomes using higher-order neural networks
Admissibility of memorization learning with respect to projection learning in the presence of noise
Uniform approximation and gamma networks
A new approach to global minimum and its applications in blind equalization
Weighted fuzzy learning vector quantization and weighted fuzzy c-means algorithms
Large scale simulations of a spin glass image associative memory
Neural channel assignment-the fast way
Conceptual graph knowledge systems as problem context for neural networks
The silicon vocal tract
Discrete-time optimal control using continuous neural networks
A modular architecture for hybrid VLSI neural networks and its application in a smart photosensor
Selection of convergence coefficient with automata learning rule
Compact modular neural networks in a hybrid speaker-independent speech recognition system
Prediction of onset of respiratory disorder in neonates
Application of a fast real time recurrent learning algorithm to text-to-phoneme conversion
An Integrated Developmental Connectionist Model of Orthography to Phonology and Orthography to Seman
Constrained information maximization
Generating data sets for benchmarking
Learning by supervised clustering and matching
Identification of a nonlinear multivariable dynamic process using feed-forward networks
A computational network for global optimization of particle tracks in stereo image velocimetry
Arbitrary distance function estimation using discrete vector quantization
Acoustic diagnosis for blower with wavelet transform and neural networks
A neural fuzzy approach for fuzzy system design
Parallel implementation of backpropagation neural network on a heterogeneous ring processor topology
Automatic feature determination using unsupervised neural networks. Application to image registration
An improved learning law for backpropagation networks
Learning internal representations in the Coulomb energy network
A self-learning threshold-controlled neural network
Improved time series segmentation using gated experts with simulated annealing
A reconfigurable low-voltage low-power building block for artificial neural networks
Bidirectional neural networks and class prototypes
Identifying and controlling deadband systems using neural networks
A Hopfield neural network for flow field computation based on particle image velocimetry/particle tracking velocimetry image sequences
Neuro-based adaptive internal model control for robot manipulators
Adaptive control and stability analysis of nonlinear systems using neural networks
Approximation capabilities of adaptive spline neural networks
Reduction of neural network models for identification and control of nonlinear systems
A logical architecture for cognitive maps
Some issues in system identification using clustering
Adaptive critic design in learning to play game of Go
Implementation of simplified multilayer neural networks with on-chip learning
Residual advantage learning applied to a differential game
Recognizing image invariants in a neural network architecture
Improving tuning capability of the adjusting neural network
Performance improvement of machine learning via automatic discovery of facilitating functions as applied to a problem of symbolic system identification
Ambiguous binary representation in multilayer neural networks
Implementation of a 3-D model for neocognitron
Adaptive integration of multiple experts
Temperature control in a batch process by neural networks
Recursive least-squares approach to self-organizing maps
Stereo correspondence through multiple constraint neural networks
New bounds for correct generalization
Non-linear system control using learning Petri network
An artificial neural network based real-time fault locator for transmission lines
Fast binary cellular neural networks
Improved kick out learning algorithm with delta-bar-delta-bar rule
Multi-layer radial basis function networks. An extension to the radial basis function
Towards an event-space self-configurable neural network
Using the Hopfield neural network with mean field annealing to solve the shortest path problem in a communication network
Robust design of flow control in ATM network switching by using Gaussian neural networks
Minimum complexity estimator for RBF networks architecture selection
Classification using Bayesian neural nets
Restoration of images degraded by space-variant distortion using a neural network
On L 1 convergence rate of RBF networks and kernel regression estimators with applications in classification
Searching for robust chaos in discrete time neural networks using weight space exploration
Accurate analog VLSI model of calcium-dependent bursting neurons
Possibilistic fuzzy classification using neural networks
A traveling salesman objective function that works
A study in experimental evaluation of neural network and genetic algorithm techniques for knowledge acquisition in fuzzy classification systems
Design architectures and training of neural networks with a distributed genetic algorithm
Crosscorrelation estimation using teacher forcing Hebbian learning and its application
A visual multi-expert neural classifier
Neural detection of QAM modulation in the presence of interference
A new fuzzy approach for pattern recognition with application to EMG classification
A maximum likelihood neural network based on a log-linearized Gaussian mixture model
CFART: a multi-resolutional adaptive resonance system
Recurrent nets for the storage of cyclic sequences
Robotic agent control combining reactive and learning capabilities
An application of a multiple neural network learning system to emulation of mortgage underwriting judgements
Adding a conscience to competitive learning
A fast supervised-learning algorithm for large, multilayered neural networks
Characteristics of the functional link net: a higher order delta rule net
VLSI implementation of rehabituation
Implementing the k-nearest neighbour rule via a neural network
Intelligent hybrid multi-agent architecture for engineering complex systems
The state estimation of the CSTR system based on a recurrent neural network trained by HGAs
Learning rate functions in CMAC neural network based control for torque ripple reduction of switched reluctance motors
Application of neural networks to classification of binary profiles derived from individual interviews
Beyond weights adaptation: a new neuron model with trainable activation function and its supervised learning
Shell-prototype clustering models
Training of supervised neural networks via a nonlinear primal-dual interior-point method
Adaptive neural network controller for robot manipulator systems
Comparison of multilayer and radial basis function neural networks for text-dependent speaker recognition
Entropic optimum synthesis of multi-layered feed-forward ANNs
An artificial neural network for Naval Theater Ballistic Missile Defense program
MR image segmentation using a fuzzy-based neural network
Speech signal restoration using an optimal neural network structure
Ising model calculation using PDM neural network hardware: Boltzmann statistical mechanics embedded in the hardware
Orthogonal polynomials neural network for function approximation and system modeling
Practical considerations for Kalman filter training of recurrent neural networks
Some enhancements of the constraint based decomposition training architecture
Recognition of multidimensional affine patterns using a constrained GA
An enhanced backpropagation training algorithm
Improving the accuracy of financial time series prediction using ensemble networks and high order statistics
Neural network based segmentation using a priori image models
Unknown parameter identification of parameterized system using multi-layered neural network
Training strategies for critic and action neural networks in dual heuristic programming method
Multiresolution wavelet analysis based feature extraction for neural network classification
Feedback-error-learning neural network for the automatic maneuvering system of a ship
A new fuzzy linear mapping technique for facial feature extraction and recognition
Modified 3-D Hopfield neural network for gesture recognition
Stock market indices in Santiago de Chile: forecasting using neural networks
Invariant pattern recognition by means of fast synaptic plasticity
Neural network-based model reference control for inverted pendulum
A local connected neural oscillator network for sequential character segmentation
Pressure control in a plant generating chloride by neural network PID control
A new acceleration technique for the backpropagation algorithm
A novel global training algorithm and its convergence theorem for fuzzy neural networks
A new method for initializing reference vectors in LVQ
The problem of learning long-term dependencies in recurrent networks
A neural network based edge detector
Feature extraction of machinery diagnosis using neural network
Learning with ease: smart neural nets
An Objective Function for Independence
A fuzzy neural network based on hierarchical space partitioning
Overcoming recurrent neural networks' compactness limitation for neurofiltering
Fault immunization technique for artificial neural networks
An adaptive tracking controller using neural networks for nonlinear systems
On the conscious and subconscious components of knowledge representation in neural networks
Neural networks as massively parallel automatic test pattern generators
A neural network for pattern generation in the scratch reflex
A cellular neural network model of the time-coding pathway of sound localization-hyperacuity in time
The EM algorithm for multiple object recognition
Chaotic multidirectional associative memory
Regularization of inverse kinematics for redundant manipulators using neural network inversions
Neural network model of spatial memory
Neural convolutional decoders in the satellite channel
GST networks: learning emergent spatiotemporal correlations
Nested Q-learning of hierarchical control structures
Principal components via cascades of block-layers
Self-organising learning of receptive fields in multi-resolution
Gaussian network variants: a preliminary study
Handwritten Chinese character recognition by ARG matching using self-organising Hopfield neural network
A design method of optimal control system by use of neural network
Least Mean Square Error Reconstruction Learning in Recurrent Network
Alternative networks for solving the traveling salesman problem and the list-matching problem
A RPCL-CLP architecture for financial time series forecasting
Difficulty in learning vs. network size
Fuzzy logic controllers: from development to deployment
Modular neural net architecture for one-step thinning algorithm
An artificial neural network-based expert system for network topological error identification
A pipelined speculative SIMD architecture for SOM ANN
A point-process coincidence network for representing interaural delay
A temperature control of steel strip using neural network in continuous annealing process
Learning new articulator trajectories for a speech production model using artificial neural networks
A fully Kalman-trained radial basis function network for nonlinear speech modeling
Experiments on estimating random mapping
Race networks: a theory of competitive recognition networks based on the rate of reactivation of neurons in cortical columns
Overlapping decompositions in the design of associative memories
A neural network diagnostic tool for the chronic fatigue syndrome
Design of Hopfield content-addressable memories
Natural properties in an artificial neural network
Using neural networks to automatically refine expert system knowledge bases: experiments in the NYNEX MAX domain
On the identification of a chaotic system by means of recurrent neural state space models
Image segmentation by neural oscillator networks
Backpropagation of accuracy
On the learning and convergence of the radial basis networks
Neural network assisted drug detection in X-ray images
Recognition of handwritten digits using structural information
Auditory model representation and comparison for speaker recognition
Fuzzy image enhancement and associative feature matching in radiotherapy
Statistical neurodynamics of various versions of correlation associative memory
A self organizing artificial neural network with problem dependent structure
A content-addressing software method for the elimination of neural networks
A neural network based time series forecasting system
A neural network algorithm using wavelets and autoregressive inputs for system identification
Neural network design for optimization of the partial area under the receiver operating characteristic curve
A committee of networks classifier with multi-resolution feature extraction for automatic target recognition
Fault-tolerance in a Boltzmann machine
A new technique to derive features for shift and unequally scaled images
Dynamics of distance between patterns for higher order random neural networks
Motion controls using complex-valued neural networks with feedback loops
The impact of VLSI technologies on neural networks
Stock market trend prediction using ARIMA-based neural networks
Neuro-fuzzy projection pursuit regression
Comparing parameterless learning rate adaptation methods
A proposal of "neuron mask" in neural network algorithm for combinatorial optimization problems
Orthogonal functional basis neural network for functional approximation
Detection of type-specific herpes virus antibodies by neural network classification of Western blot densitometer scans
The efficient design of fault-tolerant artificial neural networks
A relationship between neural networks and programmable logic arrays
A fuzzy neural network learning fuzzy control rules and membership functions by fuzzy error backpropagation
Probabilistic memory capacity of recurrent neural networks
A neural network to diagnose liver cancer
Adaptive system identification by nonadaptively trained neural networks
An adaptive 'broom balancer' with visual inputs
The toad optic tectum as a recurrent on-center off-surround neural net with quenching threshold
Learning performance measures for MLP networks
Implementation considerations of a subtracting incoherent optical neuron
Temporal competition as an optimal parallel processing of the cerebrohypothalamic system
Applying neural network to robust keyword spotting in speech recognition application
A method of selecting similar learning data in the prediction of time series using neural networks
Neuro-fuzzy modeling of complex systems using genetic algorithms
Artificial neural networks with gamma kernels for automatic target detection
Unsupervised learning of concept for action planning
Multi-layer associative neural networks (MANN): storage capacity vs. noise-free recall
Introducing visual latencies into spin-lattice models for image segmentation: a neuromorphic approach to a computer vision problem
Tracking improvement for stable robot control using neural networks
An experimental comparative study on several soft and hard-cut EM algorithms for mixture of experts
A neural network model of motion detection for moving plaid stimuli
Classification and prediction of hail using self-organizing neural networks
Adaptive predictive control of nonlinear time-varying systems using neural networks
Signal classification based on frequency analysis using multilayer neural network with limited data and computation
Building precise classifiers with automatic rule extraction
Bayesian geometric theory of learning algorithms
Self-adaptive learning rates in backpropagation algorithm improve its function approximation performance
Multiple target tracking using recurrent neural networks
Distributed syntactic representations with an application to part-of-speech tagging
Classification with missing and uncertain inputs
On the speed of training networks with correlated features
Top-down and bottom-up image processing
Exploration of very large databases by self-organizing maps
A neural network isolated word recognition system for moderate sized databases
Case-based diagnostic system using fuzzy neural network
A sensitivity analysis algorithm for pruning feedforward neural networks
Locally C 1 interpolation of functions on an arbitrary simplex mesh using a simple feed-forward perceptron
Pruning strategies for the MTiling constructive learning algorithm
The coordinates of the four corners of image date files and their applications [for date read data]
Industrial computer vision using undefined feature extraction
A multi-template learning method based on LVQ
Improving ANN generalization using a priori knowledge to pre-structure ANNs
A model of motion computation in primates
General mapping of feed-forward neural networks onto an MIMD computer
Exploiting network redundancy for low-cost neural network realizations
Intelligent FMS scheduling using modular neural networks
Fuzzy aggregation networks of hybrid neurons with generalized Yager operators
Robustness of feedforward neural networks
Noise robustness enhancement using fourth-order cumulants cost function
Optimized constraint satisfaction neural network for medical image segmentation
Eye movement model with neural oscillators
Self-learning fuzzy neural networks for control of the arc welding process
Using neural networks to control the process of plasma etching and deposition
Towards a 'neural' architecture for abductive reasoning
A dataflow processing element for neural network simulation
A class of simple nonlinear 1-unit PCA neural networks
Path planning and redundancy resolution for planar redundant manipulators, using artificial neural networks
Fast inner-outer point evaluation in a polytopic generalization domain
Application of artificial neural networks in sales forecasting
An upper bound on the node complexity of depth-2 multilayer perceptrons
Suspiciousness of loading problems
On-line adaptable controller system for underwater robot
Stability of a basic biological neural circuit
Speech classification using a modified focused gamma network
Robust learning control using universal learning network
Global descent replaces gradient descent to avoid local minima problem in learning with artificial neural networks
A novel algorithm for wideband DOA estimates based on neural network
On-line learning algorithms for neural networks with IIR synapses
Second-order training for recurrent neural networks without teacher-forcing
Digital design of discrete exponential bidirectional associative memory
Application of neural networks to computer gaming
Quantization effects of Hebbian-type associative memories
Radial basis function networks for autonomous agent control
Quadratic-type Lyapunov functions for competitive neural networks with different time-scales
Fuzzy rules extraction, reasoning and rules adaptation in fuzzy neural networks
SHAKE-A multi-criterion optimization scheme for neural network training
Boundary detection of color images using neural networks
A robust adaptive sliding mode tracking control using an RBF neural network for robotic manipulators
Gradient computation in time delayed recurrent neural network with memory for static input-output mapping under stability constraint
Fuzzy neural adaptive controller design: with application to multiple-link robot control
A hierarchical fractal net for pattern classification
An improved neural network for segmenting objects' boundaries in real images
New forms of combined matrices in fuzzy cognitive maps
Associative storage and retrieval of highly correlated natural pattern sets in diluted Hopfield networks
On the effect of the nonlinearity of the sigmoid function in artificial neural network classifiers
Identification of a class of nonlinear systems using dynamic neural network structures
Two simple strategies to improve bidirectional associative memory's performance: unlearning and delta rule
Data-dependent filters with fuzzy-neural network
Mean-field theory of the three-level associative memory and its synthesis
On design and evaluation of tapped-delay neural network architectures
BP networks for partial discharge analysis and dielectric classification
Back-propagation algorithm with controlled oscillation of weights
Generalization error of ensemble estimators
Fast TSP algorithm based on binary neuron output and analog neuron input using the zero-diagonal interconnect matrix and necessary and sufficient constraints of the permutation matrix
Accelerating backpropagation in human face recognition
A neural network application in signal timing control
Robot control using neural networks
Color analysis by learning subspaces and optical processing
Convergence of higher-order neural networks with modified updating
What the robot's hand should tell the robot's brain: feature detection in a biological neural network
Median and neural networks hybrid filters
Neural networks in defense applications
Fuzzy rule networks and its applications to decision-making under uncertainty
Training of neural network classifier by combining hyperplane with exemplar approach
Modelling the perceptual separation of concurrent vowels with a network of neural oscillators
CMOS implementation of a pulse-coupled neuron cell
A limited-interconnect synthetic neural IC
Neural network approach for general assignment problem
Bee-havior in a mobile robot: the construction of a self-organized cognitive map and its use in robot navigation within a complex, natural environment
Advanced neural network training methods for low false alarm stock trend prediction
A neural implementation of interpolation with a family of kernels
MRAC of nonlinear systems using neural networks with recursive least squares adaptation
Regularization and error bars for the mixture of experts network
Quantum neural networks (QNNs): inherently fuzzy feedforward neural networks
Use of genetic algorithms with backpropagation in training of feedforward neural networks
Immunized adaptive critics
Continuous time modeling of nonlinear systems: a neural network-based approach
Connectionist realization of semantic networks using an adaptive associative memory, AAM
Failure diagnosis for pneumatic control valves by neural network