yusuke1997/dblp-id-title huggingface dataset:
A Bayesian neural network chip design for speech recognition system
Facial expression synthesis by radial basis function network and image warping
Solution to the inverse kinematics problem in robotics by neural networks
Neuro-fuzzy approaches to collaborative scientific computing
An extension of the Hopfield-Tank model for solution of the multiple traveling salesmen problem
Fuzzy inference networks: an introduction
Object separation in dynamic neural networks
Spatiotemporal pattern generation by control and synchronization of chaos
Distribution of asymptotically stable states in Hopfield network for TSP
Detection of sodium oxalate needles in optical images using neural network classifiers
Learning rate and outlier analysis of linear learning algorithms
Motif neural network design for large-scale protein family identification
Associative storage of complex sequences in recurrent neural networks
MADALINE RULE II: a training algorithm for neural networks
Robust training algorithm for a perceptron neuron
Genetic function approximation in the molecular pharmacology of cancer
Feature extraction from mixed odor stimuli based on spatio-temporal representation of odors in olfactory bulb
Comparative fault tolerance of generalized radial basis function and multilayer perceptron networks
Analog hardware implementation of adaptive filter structures
A neural network based corner detection method
ANNSyS (an analog neural network synthesis system)
Multilayer feedforward potential function network
Detection and removal of impulse noise by a neural network guided adaptive median filter
A modified learning algorithm for improving the fault tolerance of BP networks
When is the generalized delta rule a learning rule? a physical analogy
Neural network-based robot trajectory generation
Ability of the complex backpropagation algorithm to learn similar transformation
Chaotic Resonance Theory, a New Approach for Pattern Storage and Retrieval in Neural Networks
Handwritten digits recognition with neural networks and fuzzy logic
A single-layer systolic architecture for backpropagation learning
Theoretical and experimental analyses of restoring degraded images based on continuous Hopfield neural networks
Multiuser detection in CDMA based on the annealed neural network
New classifier with reduced computational complexity
The emergence of generalization in networks with constrained representations
Evaluation and ordering of rules extracted from feedforward networks
Canonical models for mathematical neuroscience
Neural network application to head and tail width control in a hot strip mill
Cluster detection using neural networks
Adaptive training of multilayer neural networks using a least squares estimation technique
Selforganizing Clifford neural network
A hierarchical CMAC architecture for context dependent function approximation
A selectionist approach to auditory perception
Self-architecture-theory and experiment of biological neural network
Minimum description length pruning and maximum mutual information training of adaptive probabilistic neural networks
Using the general energy function of the random neural networks to solve the graph partitioning problem
Utilization of hierarchical structure stochastic automata for the back propagation method with momentum
A novel neural-network-related approach for regression analysis with interval model
Back-propagation networks for event-driven temporal sequence processing
Spatio-temporal image filtering with cellular neural networks
Non-linear PID controller using neural networks
Parallel architectures for artificial neural nets
Feedback-error-learning control with considering smoothness of unknown nonlinearities
A neural network model for information retrieval using latent semantic indexing
A high noise recognition system with self-organizing features
Artificial neural networks for force and power predictions in oblique cutting
A constructive neural network algorithm for function approximation
Pattern recognition and associative memory as dynamical processes in nonlinear systems
Knowledge-based fuzzy MLP with rough sets
Abilities and limitations of a neural network model for spoken work recognition
A neuro-fuzzy approach to recognize Arabic handwritten characters
Learning Dynamical Systems from Trajectories by Continuous Time Recurrent Neural Networks
A decentralized algorithm for learning in adaptable networks
A neural demodulator for quadrature amplitude modulation signals
Multi-classifiers neural network fusion versus Dempster-Shafer's orthogonal rule
An unsupervised learning rule for vector normalization and gain control
Unsupervised hierarchical fingerprint matching
A quick learning rule to expand stable attraction basins in autoassociative neural networks
Hierarchical feature maps for non-linear component analysis
Online prediction of polymer product quality in an industrial reactor using recurrent neural networks
Fast learning algorithms for training of feedforward multilayer perceptrons based on extended Kalman filter
A topological approach to the pattern classification in neural networks
Can computer vision assist creativity?
Efficient image retrieval using a network with complex neurons
Performance improvements for a neural network detector
ATM call admission control using sparse distributed memory
Genetic algorithms and simulated annealing: a marriage proposal
Learning activation rules for associative networks
Temporal pattern recognition
A growing network that optimizes between undertraining and overtraining
A neural network classification tree
An empirical study of the time complexity of various error functions with conjugate gradient backpropagation
An artificial neural network to predict river flow rate into a dam for a hydro-power plant
Some notes on perceptron learning
Evolving wavelet neural networks
Blind source separation of real world signals
Proceedings of International Conference on Neural Networks (ICNN'96), Washington, DC, USA, June 3-6, 1996
Artificial neural networks for aerobic fitness approximation
CNeT: competitive neural trees for pattern classification
Two simple cooperating neural systems for efficient handwritten digit recognition
Neuron layer with reciprocal inhibition as a mechanism of random choice
Recurrent neural networks for temporal learning of time series
Heterogeneous radial basis function networks
Quick learning for multidirectional associative memories
Analog CMOS implementation of backward error propagation
Phonetic feature extraction by time-sequence binary classifiers
LVQ with a weighted objective function
On lateral connections in feed-forward neural networks
A study of Hopfield neural networks with external noises
Interpolation networks
Hierarchical classification of odor quality based on dynamical property of neural network of olfactory cortex
Network expansion and network compression-further discussion on structure variation methods
Pixel based 3D object recognition with bidirectional associative memories
Nonlinear PCA type approaches for source separation and independent component analysis
Error potentials for self-organization
A neural network approach towards multiradar track fusion
An empirical evaluation of bagging and boosting for artificial neural networks
Compressing higher-order co-occurrences for texture analysis using the self-organizing map
Identifying chaotic attractors with neural networks
Image compression by CNN
Increasing colour image segmentation accuracy by means of fuzzy post-processing
VLSI design for real-time signal processing based on biologically realistic neural models
The classification of motion in image sequences using 3D recursive adaptive filters to obtain neural network input vectors
A parametric heterogeneous fuzzy data model
Robust telemanipulator control using a partitioned neural network architecture
A new technique for the classification and decomposition of EMG signals
Neural net approximations to solutions of systems of fuzzy linear equations
Self-organized color image quantization for color image data compression
Multi-chip module technology
A method for design of a hybrid neuro-fuzzy control system based on behaviour classification
An automatic fuzzy neural network driven signature verification system
Wavelet neural networks and receptive field partitioning
A co-evolutionary algorithm for neural network learning
There exists a neural network that does not make avoidable mistakes
Implementation of a multilayer perceptron network using an optically addressed photoconductive array
Estimate the source structure through communication
A theory on a neural net with nonmonotone neurons
Preprocessing operators for image compression using cellular neural networks
Using elastic nets for correspondence in range data
Separation of two independent sources by the information-theoretic approach with cubic nonlinearity
A neural network for grey level and color correction used in photofinishing
A rule based prototype system for automatic classification in industrial quality control
Associative memory design via perceptron learning
Use of bootstrap samples in designing artificial neural network classifiers
Neural networks for solving the quadratic 0-1 programming problem under linear constraints
Forecasting the KLSE index using neural networks
Vibration fault detection of large turbogenerators using neural networks
Off-line Chinese handwriting recognition using multi-stage neural network architecture
Application of neuro-based optimization algorithm to three dimensional cylindric puzzles
Asynchronous translations with recurrent neural nets
On reconstruction error of Kohonen self-organizing mapping
Recurrent perceptron learning algorithm for CNNs with application to edge detection
On an efficient design algorithm for modular neural networks
Scalability in neural network design: an add-on scheme
Asymptotic dynamic programming: preliminary concepts and results
Input-to-state stability (ISS) analysis for dynamic neural networks
Parallel sequential induction networks: a new paradigm of neural network architecture
Multivariate data projection techniques based on a network of enhanced neural elements
Recognition of handwritten Chinese characters by multi-stage neural network classifiers
Gradient descent learning of radial basis neural networks
Neuron-type operation using stimulated Raman scattering
A high level Petri net model of olfactory bulb
Improved sufficient convergence condition for the discrete-time cellular neural networks
Network complexity and generalization
Multi-Dimensional Density Shaping by Sigmoidal Networks
Neural network approach to identify batch cell growth
Dynamics and stability of multilayered recurrent neural networks
Approximation with neural networks: between local and global approximation
Extensions and enhancements of decoupled extended Kalman filter training
The automatic button-color matching system using Kohonen's self-organizing feature maps in the textile field
Estimation of correctness region using clustering in mixture of experts
Classifying fingerprint images using neural network: deriving the classification state
Extraction of crisp logical rules using constructive constrained backpropagation networks
Neural network-based regions detection
Broadband noise cancellation using a functional link ANN based nonlinear filter
Primitive adaptive critics
Mappings of SOM and LVQ on the partial tree shape neurocomputer
Self-learning neural control of a mobile robot
Radiation behavior of analog neural network chips
DETE: connectionist/symbolic model of visual and verbal association
A binary neural network approach for one-shot scheduling problems in multicast packet switching systems
Sequential network construction for time series prediction
Continuous speech recognition with neural networks and stationary-transitional acoustic units
Modular neural network hardware implementation of analog-digital mixed operation
Content-based software classification by self-organization
Genetic algorithms enhanced Kohonen's neural networks
A recurrent network with stochastic weights
Elimination of multiple reflections in marine seismograms using neural networks
Neural networks models for the prediction of stock return volatility
Exploration of learning in an associative magnetic processor
Hippocampal lesions may impair, spare, or facilitate latent inhibition: a neural network explanation
Placement with self-organising neural networks
The hybrid Hopfield-clique memory with perfect storage
Classification of chromosomes using a combination of neural networks
Hybrid neural network pattern recognition system for satellite measurements
Image restoration by Hopfield networks considering the line process
Creation by refinement: a creativity paradigm for gradient descent learning networks
A new neural network structure composed of small CMACs
Unsupervised query-based learning algorithm and its application to Kohonen's self-organizing maps
A neural network for decision making under the influence of reinforcement
Combined inverse system method and neural network for designing nonlinear excitation control law
The efficiency of the chaotic visual behaviour in modeling the human perceptual-alternation by artificial neural network
Experimental analysis of behavior stability in neuron gain domain in recurrent complex-valued neural networks
Neural computing approach to Japanese electoral system
A comparison of recurrent neural network learning algorithms
Proceedings of International Conference on Neural Networks (ICNN'88), San Francisco, CA, USA, March 28 - April 1, 1993
Economic prediction using neural networks: the case of IBM daily stock returns
Cascade error projection: an efficient hardware learning algorithm
Hybrid knowledge acquisition by integrating decision trees and neural networks
Rule refinement with recurrent neural networks
Decoupled-voting Hamming associative memory networks
Integer linear programming neural networks for job-shop scheduling
A serial complexity measure of neural networks
Lyapunov function based design of dynamical neural networks for restoration of blurred and noisy images
Classification capabilities of architecture-specific recurrent networks
The Hamming associative memory and its relation to the exponential capacity DAM
A neural network model based on differential-algebraic equations for nonlinear programming
Efficient VLSI implementation of a 3-layer threshold network
The continuous retina: image processing with a single-sensor artificial neural field network
Signal-flow-graph derivation of on-line gradient learning algorithms
A compact VLSI design for recursive neural networks with hardware annealing capability
An ARTMAP based hybrid neural network for shift invariant Chinese character recognition
Spatio-temporal summation and self-organization in chaotic neural networks
A recurrent neural network with serial delay elements for memorizing limit cycles
Analysis of fast fading in multipath propagation by forward-only counterpropagation network
Resolutionable cellular neural networks
Genetic algorithms for structural optimisation, dynamic adaptation and automated design of fuzzy neural networks
Solving inverse problems in nonlinear PDEs by recurrent neural networks
Forming global representations with extended backpropagation
Adaptive control of robot manipulator with radial-basis-function neural network
Unsupervised segmentation of multi-echo MR images with an ART-based neural network
Dynamic neural controller with somatic adaptation
Self-regulation of model order in feedforward neural networks
Prediction of chaos and bifurcation: an asymmetric basis function approach
Modelling weight- and input-noise in MLP learning
Low level visual motion processing using local motion detectors
Hopfield-based adaptive state estimators
A new learning method to improve the category proliferation problem in fuzzy ART
Transient discrimination in nonlinear time series using linear-phase time-delay neural networks
Improving the resolution of Lazzaro winner-take-all circuit
Information measure of knowledge extracted from neurons as a tool for analyzing Boolean learning in artificial neural networks
Global and local optimization in adaptive neurocontrol
Unsupervised learning network based on gradient descent procedure of fuzzy objective function
Performance evaluation of neural network algorithms for multisensor data fusion in an airborne track while scan radar
Pruning within cascade-correlation
Voting schemes for cooperative neural network classifiers
Applying the connectionist inductive learning and logic programming system to power system diagnosis
Kohonen's self-organizing maps: exploring their computational capabilities
Surface identification by acoustic reflection characteristics using time delay spectrometry and artificial neural networks
Chaos control using second order derivatives of universal learning network
A temporal memory network with state-dependent thresholds
Things you haven't heard about the self-organizing map
Which classes of functions can a given multilayer perceptron approximate?
Blind deconvolution by self-organization
Improving generalization of a well trained network
A novel counter circuit using a multi-level neuron with a self-feedback weight
Fast valving control using radial-basis function neural network
Factors influencing learning by backpropagation
Effects of the sample size in artificial neural network classifier design
Improving the learning rate of back-propagation with the gradient reuse algorithm
Dynamics of structural learning with an adaptive forgetting rate
A fast supervised learning scheme for recurrent neural networks with application to associative memory design
Trajectory control of robotic manipulators using chaotic neural networks
Fuzzified RBF network-based learning control: structure and self-construction
Parallel learning for supervised networks in one dimensional real space
Solving the scheduling problem in high level synthesis using a normalized mean field neural network
Neuro-fuzzy optimal control of backing up a trailer truck
Comparative studies of two neural network architectures for modeling of human speech production
The subspace learning algorithm as a formalism for pattern recognition and neural networks
Spectral approximation of functions by using three-layered feedforward neural networks
Monaural localization using combination of TD ( lambda ) with backpropagation
Spatio-temporal associative memories-the role of inhibitory neurons in building synfire chains
Extraction of semantic rules from trained multilayer neural networks
Decrementing associative networks
Penalty terms for fault tolerance
Adaptive mixtures of local experts are source coding solutions
Intelligent control of the Intelledex 605T robot manipulator
Neural network for syntactic categorisation of words
Formalizing neural networks using graph transformations
On the implementation of backpropagation on the Alex AVX-2 parallel system
Connectionist network for feature extraction and classification of English alphabetic characters
Varying cooperation in SOM for improved function approximation
Combining statistical pattern recognition approach with neural networks for recognition of large-set categories
Speed up the back-propagation learning algorithm by the broadcast communication model
Statistical risk analysis for classification and feature extraction by multilayer perceptrons
Predictive medicine: initial symptoms may determine outcome in clinically treated depressions
Stability analysis of neural networks via Lyapunov approach
A feedforward MNN controller for pneumatic cylinder trajectory tracking control
Combining rotation-invariance images and neural networks for road scene understanding
Convergence study of principal component analysis algorithms
Learning trajectories with a hierarchy of oscillatory modules
Structure study of feedforward neural networks for approximation of highly nonlinear real-valued functions
Training methods for a connectionist model of consonant-vowel syllable recognition
An artificial neural minimum-variance estimator
Identification of human faces through texture-based feature recognition and neural network technology
A neural network communication equalizer with optimized solution capability
A novel decoder structure for convolutional codes based on a multilayer perceptron
Robust principal component extracting neural networks
On the design and initialization of layered feed-forward neural networks
A neuro-fuzzy approach to agglomerative clustering
Fully parallel summation in a new stochastic neural network architecture
The selection of weights precision for ballistocardiography classification
On the structure of the Hessian matrix in feedforward networks and second derivative methods
Solving search problems with subgoals using an artificial neural network
Low bit rate image compression with orthogonal projection pursuit neural networks
Stability and equilibrium points in neurocontrol
Associative memory of weakly connected oscillators
Meaning-based handling of don't care attributes in artificial neural networks
Solution of the traveling salesman problem with an adaptive ring
Optimization by pulsed recursive neural networks
2D simulations of cortical networks in a neural processor array model
Maximum likelihood training of probabilistic neural networks with rotationally related covariance matrices
Enhanced Hopfield network for morphologic image processing
Adaptive k-means algorithm with error-weighted deviation measure
A balloon net discovering improved solutions in one of unsolved problems in geometry: a problem of spreading points in a unit square
Neural training of complex sequential associations using recurrent continuous backpropagation
Isolated spoken number recognition with hybrid of self-organizing map and multilayer perceptron
Adaptive joint fuzzy sets for function approximation
Non-monotone network dynamics; preliminary results
Evolving fuzzy clusters
Back and counter propagation aberrations
Noninvertibility in neural networks
A model of the neuro-ommatidium of the fly's eye
A self-learning neuro fuzzy controller
Writer verification using multiple neural networks
Meanfield chaos dynamics with changing chaos threshold value
Unified formulation for training recurrent networks with derivative adaptive critics
Speech synthesis with artificial neural networks
Exploration of full-text databases with self-organizing maps
On the properties of periodic perceptrons
A nonlinear adaptive predictor for speech compression
Artificial cerebellum ACE: tensor network transformer enabling virtual movement in virtual environment: facilitating teleoperation in telepresence
An overview on supervised neural networks for structures
Robust adaptive identification of dynamic systems by neural networks
Recursive neural networks with high capacity
Detection of contradictions in a semantic neural network
Harmonic detection by using neural network
Decision making using neural networks: an application to cross-cultural management
An adaptive and modular recurrent neural network based power system load forecaster
A scalable method for classifier knowledge reuse
An analytical learning algorithm for the dendro-dendritic artificial neural network via linear programming
Relaxation oscillator networks with time delays
A pseudo outer-product based fuzzy neural network and its rule-identification algorithm
Non-monotonic firing rate of a coupled FitzHugh-Nagumo model
A robust growing-pruning algorithm using fuzzy logic
Fuzzy logic adapted nodal training parameter
Using spectral techniques for improved performance in artificial neural networks
A connectionist model for learning robotic grasps using reinforcement learning
A neural network systems component
Recognition of traffic signs by artificial neural network
Intrinsic Oscillations of Neural Networks
Exploration and model building in mobile robot domains
Sparse distributed memory for multivalued patterns
Arbitrary distance function estimation using vector quantization
A module neural network and its basic behaviors
Neurosolver solves blocks world problems
A means of VLSI current controlled weight setting in ANNs
Rapid best-first retrieval from massive dictionaries by lazy evaluation of a syntactic neural network
Performance of a neural net scheduler used in packet switching interconnection networks
Prime numbers and output codes