yusuke1997/dblp-id-title huggingface dataset:
Deep feedforward networks: application to pattern recognition
Integration of stereo vision and optical flow using Markov random fields
Neural network simulation at Warp speed: how we got 17 million connections per second
Massive neural video compression with temporal subsampling
D-entropy controller for interpretation and generalization
Recurrent canonical piecewise linear network and its application to adaptive equalization
A fuzzy-neural approach to real time plasma boundary reconstruction in tokamak reactors
Synthesis of mechanical linkages using artificial neural networks and optimization
Inverse kinematic at acceleration level using neural network
Neural information processing using network-in-a-field
The GLS learning algorithm for multilayer neural network
Single minimum method for combinatorial optimization problems and an efficient algorithm of TSP problem
The model reference adaptive control based on the genetic algorithm
Hyperchaos from a hysteresis neural network
Receptive field estimation for Gaussian-based neural networks
K-subspaces and time-delay autoassociators for phoneme recognition
A minimal neural network for target searching and danger avoidance by smell
Pattern classification of EEG signals using a log-linearized Gaussian mixture neural network
Improvements of the modified hypermap architecture for speech recognition
Partitions of unity improve neural function approximators
Learning of word stress in a sub-optimal second order back-propagation neural network
A self-organizing neural network merging Kohonen's and ART models
A neural network driven solution to a channel assignment problem in wireless telephony
Adaptive filtering and prediction based on Hopfield neural networks
Feature selection: a neuro-fuzzy approach
Ultradiffusion, scale space transformation, and the morphology of neural networks
Low contrast object detection using a MLP network designed by node creation
Hybrid location-content addressable memory
Soft multiple winners for sparse feature extraction
MUpstart-a constructive neural network learning algorithm for multi-category pattern classification
Fast learning in artificial neural systems: multilayer perceptron training using optimal estimation
Color opponency as the internal representation acquired by a three-layered neural network model
A neural network incorporating adaptive Gabor filters for image texture classification
Can supervised learning be achieved without explicit error back-propagation?
Autonomous trajectory generation of a biped locomotive robot using neuro oscillator
Development of a neural network algorithm for unsupervised competitive learning
Electronic implementation for competitive neural network: a prototype
Using an effective Boltzmann machine to learn context dependencies of a sequence
A cascaded recurrent neural network for real-time nonlinear adaptive filtering
Automatic facial feature extraction by applying genetic algorithms
Implementing resistive fuse with floating gate MOS transistors
Representation of fuzzy finite state automata in continuous recurrent, neural networks
A method for the design of evolutionary multilayer neural networks
Gaussian correlation associative memory
Typicality in computer mediated discussions-an analysis with neural networks
Recognizing polyhedral objects using neural networks
Corrective training of hidden control neural network
Speaker identification based on a modified Kohonen network
HONEST: a new high order feedforward neural network
Gradient descent fails to separate
Neural networks-based reconstruction of flight data for aircraft crash investigations
Universal learning network and computation of its higher order derivatives
Neural networks in real time control of telecommunication networks
A digital neuron realization for the random neural network model
Neuron and dendrite pruning by synaptic weight shifting in polynomial time
Understanding the leasing decision with the help of a Kohonen map. An empirical study of the Belgian market
Real-time feedback control of reactive ion etching using neural networks
Visualizing weight dynamics in the N-2-N encoder
Optimisation neural networks by mismatched filter model
Learning curves from a modified VC-formalism: a case study
Fault-tolerant MLP networks for improved reliability and safety
A neural architecture to predict pollution in industrial areas
Biological neural architecture for chromatic adaptation resulting in constant color sensations
Neural 'selective' processing and learning
A theory of over-learning in the presence of noise
A neural network that embeds its own meta-levels
Weight evolution algorithm with dynamic offset range
The creation of Delta: a new concept in ANS processing
Kohonen feature maps as a supervised learning machine
Fault modeling and reliability evaluations using artificial neural networks
Parameter adaption for field-oriented AC-drives using neural network
Snowfall and rainfall forecasting from weather radar images with artificial neural networks
Generalized inverse computations using two-layer feedforward neural networks with pruning
Blind separation of binary sources with less sensors than sources
Learning task-dependent distributed representations by backpropagation through structure
A geometric learning algorithm for elementary perceptron and its convergence analysis
Texture classification using a probabilistic neural network and constraint satisfaction model
Optimization by reduction to maximum clique
Classification of mouse chromosomes using artificial neural networks
Derivation of momentum LMS algorithms by minimizing objective functions
An autonomously controlled chaos neural network
An adaptive-topology neural architecture and algorithm for nonlinear system identification
Analysis, modeling and estimation through a similarity based approach: an economic signal case study
A multi-layer Kohonen's self-organizing feature map for range image segmentation
Structural adaptation in neural networks with application to land mine detection
Cross-validation without a validation set in BP-trained neural nets
Neural control of artificial six-legged terrestrial locomotion on rough terrain
Neuromorphic self-tuning PID controller
Inherent fault tolerance analysis for a class of multi-layer neural networks with weight deviations
A sound localization system based on biological analogy
A dynamic routing control based on a genetic algorithm
Speaker verification and identification using gamma neural networks
Self-tuning adaptive control of multi-input, multi-output nonlinear systems using multilayer recurrent neural networks with application to synchronous power generators
Image compression using stochastic neural networks
The effects of quantization on the backpropagation learning
BAYESNET: Bayesian classification network based on biased random competition using Gaussian kernels
Approximating elliptic PDE by perturbation of neural dynamics
Supervised fuzzy ART: training of a neural network for pattern classification via combining supervised and unsupervised learning
The effect of stochastic interconnects in artificial neural network classification
Digital neural processor for parallel structure and cost performance comparison of the architectures
Learning temporal sequences by complex neurons with local feedback
Additional learning and forgetting by potential method for pattern classification
ART1 : model algorithm characterization and alternative similarity metric for the novelty detector
Fuzzy function learning with covariance ellipsoids
Learning algorithms for adaptive processing and control
Application of adaptive RPCL-CLP with trading system to foreign exchange investment
Self-generating vs. self-organizing, what's different?
A hybrid global learning algorithm based on global search and least squares techniques for backpropagation networks
Solving the serializability problem by a connectionist machine
Combine multiple time-delay HMEs for speaker identification
Adaptive learning control of affine nonlinear systems using piecewise linearly trained networks
Blind de-mixing with unknown sources
Competitive learning algorithms for channel optimized vector quantizers
Fuzzy gated neuronal architecture for pattern recognition
An application of MNN trained by MEKA for the position control of pneumatic cylinder
A modular design of fuzzy neural network with application to telecommunication network management control
Stability analysis of neural networks
A fuzzy classifier for visual crowding estimates
Dynamical Systems Regulation by Neuro-Controllers
A position paper on statistical inference techniques which integrate neural network and Bayesian network models
A quick algorithm of neural combinatorial optimization to data association problem of multimaneuvering target tracking
Adaptive classification of hand movement
Application of 3-layer perceptrons to cost estimation
Coordinative behavior in evolutionary multi-agent system by genetic algorithm
Analog neural networks solve ambiguity problems in medium PRF radar systems
Financial prediction using higher order trigonometric polynomial neural network group model
A real-time solution for the traveling salesman problem using a Boolean neural network
Improving recurrent network load forecasting
Minimum α-information strategy for the interpretation of the network behaviors and the improved generalization
An algorithm of eye movement in selective fixation
Regulation of nonlinear plants using radial basis function neural networks
Multiresolution neural networks for omnifont character recognition
A modified mixtures of experts architecture for classification with diverse features
Some further studies on detection the number of clusters
Unconstrained minimum mean-square error parameter estimation with Hopfield networks
An ε-approximation approach for global optimization with an application to neural networks
Application of artificial neural networks to effective bandwidth estimation in ATM networks
Using weight decay to optimize the generalization ability of a perceptron
Theoretical considerations on the capabilities of crossbar switching by Hopfield networks
Region selection: segmentation, classification and task relevance in a single grouping mechanism
Interpolation and Learning in Artificial Neural Networks
A practical neural network for handwritten character recognition built by dynamics-based active learning and self-organization of feedback mechanism
Hierarchical intelligent prediction system using RBF based AFS
Learning regular languages via recurrent higher-order neural networks
A comparison of neural networks and statistical methods for track association in over the horizon radar
Evolving a sort: lessons in genetic programming
Visual position and orientation orders
A shape classifier based on Hopfield-Amari network
Adaptive fuzzy filtering for audio applications using a neuro-fuzzy modelization
Training a Hopfield memory with noisy examples
An intelligent sales forecasting system through fuzzy neural network
Neural network models for spotting stop consonant-vowel (SCV) segments in continuous speech
Results of the time series prediction competition at the Santa Fe Institute
A local neural implementation of histogram equalization
Artificial neural networks application for current rating of overhead lines
SCRIPT-a prototype for the recognition of continuous, cursive, handwritten input by means of a neural network simulator
Inverse recall neural network model and feedback pattern recognition
An architecture for behaviour coordination learning
A partially recurrent gating network approach to learning action selection by reinforcement
A connectionist model for graytone thinning
Neural network approach to relevance
An artificial neural network to predict mortality in patients who undergo percutaneous coronary interventions
Sensitivity of biological neuron models to fluctuations in synaptic input timing
Implementation of cellular neural network operating with bipolar images
Identification of vibrating structures and fault detection using neural networks
Design of controller for nonlinear multivariable system using dynamic neural unit model
On decomposing MLPs
Spatio-temporal self-organizing feature maps
Connectionist plan reminding in a hybrid planning model
Localizing sound source by incorporating biological auditory mechanism
A partially recurrent architecture applied to classification problems
Faster learning through a probabilistic approximation algorithm
Extraction method of rules from reflective neural network architecture
An error perturbation for learning and detection of local minima in binary 3-layered neural networks
Independent component analysis by the information-theoretic approach with mixture of densities
Neural network model using a normalized inner product as a measure of similarity
Texture segmentation method considering optimum number of segmentation areas by using neural networks
Topology preservation in self-organizing maps
Superior training of artificial neural networks using weight-space partitioning
Competitive and hybrid neuro-fuzzy models for supervised classification
Topology analysis of data space using self-organizing feature map
An orthogonal delta weight estimator for MLP architectures
A three dimensional neural architecture
Yield improvement for GaAs IC manufacturing using neural network inverse modeling
Fast and Global Convergent Weight Evolution Algorithm based on Modified Back-propagation
Neural networks-competence and performance
A condition for a unique equilibrium point in a recurrent neural network
Programmable multilayer optical neural networks with asymmetric interconnection weights
The tracking of changes in chemical processes using computer vision and self-organizing maps
Competitive neural networks as adaptive algorithms for nonstationary clustering: experimental results on the color quantization of image sequences
Unit-growing learning optimizing the solvability condition for model-free regression
Modelling active contours using neural networks isomorphic to boundaries
Efficient learning and planning within the Dyna framework
Neural network approximation: application to peak switching overvoltage determination in power systems
An adaptive and fully sparse training approach for multilayer perceptrons
Automatic estimation of age at death from human bone cross-sections using neural networks
A two-stage neural net for segmentation of range images
Parallel neural networks for speech recognition
Genetic algorithm based input selection for a neural network function approximator with applications to SSME health monitoring
Multivariate FOREX forecasting using artificial neural networks
Control of memory search by matching features with presynaptic inhibition
Theoretical comparison of mappings of combinatorial optimization problems to Hopfield networks
Universal neural network controllers
Limiting the effects of weight errors in feedforward networks using interval arithmetic
Self-clustering recurrent networks
A sigmoidal radial basis function neural network for function approximation
The resonance correlation network
Event representation in fuzzy neural networks with qualitative inputs
On-line evolutionary learning of NN-MLP based on the attentional learning concept
On the equivalence of two Hopfield-type networks
Identification of unknown categories with probabilistic neural networks
RBF fuzzy controller with virus-evolutionary genetic algorithm
Loose synchrony in relaxation oscillator networks with time delays
Symbolic computation-based synthesis of neural network dynamics and controller for robots
Training ANN using linear minimax techniques
Gain elimination from backpropagation neural networks
Extension of approximation capability of three layered neural networks to derivatives
Control of the underexcitation mode of synchronous machines in power plants
Neural spectral composition for function approximation
A competitive and selective learning method for designing optimal vector quantizers
Discriminant analysis neural networks
A simple coding scheme for neural recognition of binary visual patterns
Fuzzy cognitive maps, signal flow graphs, and qualitative circuit analysis
A decentralized tunable short term neural network memory and application to tracking
A method of training multi-layer networks with heaviside characteristics using internal representations
The backpropagation algorithm applied to protective relaying
Self-learning neural network LSI with high-resolution non-volatile analog memory
Utilizing the similarity preserving properties of self-organizing maps in vector quantization of images
MOSAIC: a macroconnectionist organization system for artificial intelligence computation
Recognition and anticipation of hand motions using a recurrent neural network
Solving two-spiral problem through input data representation
Connectionist architecture for all Mandarin syllables recognition
Application of recurrent neural network for active filter
Transient stability assessment: an artificial neural network approach
Optimal Brain Surgeon and general network pruning
Guaranteeing crossbar switching by Hopfield network efficient and fail-safe
Adaptive control of nonlinear dynamic systems using θ-adaptive neural networks
Associative memories based on networks of delay differential equations
Neural approach to visual servoing for robotic hand eye coordination
NNP: a neural net classifier using prototypes
Inverse control of nonlinear systems using neural network observer and inverse mapping approach
Integer-weight approximation of continuous-weight multilayer feedforward nets
Specification and implementation environment for neural networks using communicating sequential processes
A study on the bursting firing phenomena in neural network with the hardware neuron model
MDL regularizer: a new regularizer based on the MDL principle
An application of mean field theory to optimal power flow
Texture mixture modelling using the neural network approach
Analysis of pulsed gradient nuclear magnetic resonance experiments using feedforward neural networks
A neural network for the automatic diagnosis of the telephone switching systems
Speed-up of learning in second order neural networks and its application to model synthesis of electrical devices
Neuromorphic analog communication
Single-sensor active noise cancellation using recurrent neural network predictors
On-line handwritten symbol recognition, using an ART based neural network hierarchy
Piecewise polynomial kernel networks
Assembling engineering knowledge in a modular multi-layer perceptron neural network
Neural adaptation for optimal traffic shaping in telephone systems
Evolution and computational intelligence
Identification of sample size needed in a given classification task
Higher order neural networks for combinatorial optimisation improving the scaling properties of the Hopfield network
Parallel neural network architectures
Modeling of neural networks in feedback systems using describing functions
Dual-mode dynamics neural network (D2NN) for the traveling salesman problem
Kernel feature detector: extracting kernel features by minimizing α-information
Using hysteresis to improve performance in synchronous networks
C-NNAP-a parallel processing architecture for binary neural networks
Using a neural network to diagnose anterior wall myocardial infarction
Neural network commissioning of a PI controller for a rigidly coupled motor/mechanical system
A role for the hippocampal system in the learning of distal cortical associations
Utilization of neural network for constructing a user friendly decision support system to deal stocks
An implementation of the self-organizing map on the CNAPS neurocomputer
Solving XOR with a single layered perceptron by supervised self-organization of multiple output labels per class
Neuro-fuzzy hybrid control system of nonlinear process in petroleum plant
The generalization capabilities of ARTMAP
Bimodal stochastic optical learning machine
A scaly artificial neural network architecture for isolated word recognition using the British Telecommunications English alphabet database
Square root learning in batch mode BP for classification problems
Function evaluation and the cascade-correlation architecture
Propagation of the nerve-impulse within a neuronal chain
Neural network autoregressive modeling of vibrations for condition monitoring of rotating shafts
A comparison study of optimization methods for the bipartite matching problem (BMP)
Considering adequacy in neural network learning
Implementing a neural network for a progressive fuzzy clustering algorithm
Adaptive spatiotemporal neural network for speech recognition
Computation of optical flow using a neural network
Invariant representation and hierarchical network for inspection of nuts from X-ray images
A Bayesian interpretation for the Hopfield network
Improved recognition of E. coli 0157: H7 bacteria from pulsed-field gel electrophoresis images through the fusion of neural networks with fuzzy training data
Improvement on speech recognition and synthesis for disabled individuals using fuzzy neural net retrofits
New advances on Bayesian Ying-Yang learning system with Kullback and non-Kullback separation functionals
Nonlinear adaptive digital filters using parallel neural networks
Solving Proportional Analogy Problems using Tensor Product Networks with Random Representations
Prime feature extraction in pyramid network
The density-tracking self-organizing map
Hardware implementation of the neural gas
Networks based on Kanerva's sparse distributed memory: results showing their strengths and limitations and a new algorithm to design the location matching layer
Computing with dynamic synapses: a case study of speech recognition
Polynomial and standard higher order neural network
Using neural networks for underwater target ranging
Blind source separation and tracking using nonlinear PCA criterion: a least-squares approach
Failure diagnosis system on pneumatic control valves by neural network
A pattern recognition ANN that acts as its own in-band and/or bandpass filter
On the representation of data for optimal learning
Synthesis of a discrete-time feedback neural controller
Unsupervised learning for channel equalization using a neural network data receiver
Selecting the toroidal self-organizing feature maps (TSOFM) best organized to object recognition
The estimation theory and optimization algorithm for the number of hidden units in the higher-order feedforward neural network
Rough-fuzzy set theoretic approach to evaluate the importance of input features in classification
Estimation of size of hidden layer on basis of bound of generalization error
An online distribution feeder optimal reconfiguration algorithm for resistive loss reduction using a multi-layer perceptron
A neural network solution for the correspondence problem
Representation of first order dynamical systems using neural networks
Coherent optical neural networks: generalization ability in frequency domain
A geometric method to obtain error-correcting classification by neural networks with fewer hidden units
Nonlinear control system with radial basis function controller using random search method of variable search length
Adaptive learning control system based on the designed multilevel stochastic supervisor of an artificial neural network
Partitioning input space for reinforcement learning for control
Combinatorial optimization with higher order neural networks-cost oriented competing processes in flexible manufacturing systems
A perceptron-like online algorithm for tracking the median
Neural multivariate prediction using even-knowledge and selective presentation learning
Improvement of detection accuracy in digital mammography with a pruned neural net optimized from heuristic decision rules
Neural networks for solving constrained Steiner tree problem
Analog implementations of a binary relation inference network for minimum cost path problems
A behaviour-oriented approach to an implicit "object-understanding" in visual attention
Representing visual schemas in neural networks for scene analysis
Neural networks applied to regioselectivity of radical additions
Self-organizing neural networks: convergence properties
Orthonormal function neural network for nonlinear system modeling
An optically programmed neural network
Problems of massive parallelism in neural network simulation