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List of Jounal Titles
A to Z index of Journal Title. Choose a letter.
5th Int Conf Neural Inf Proc Vol 2
- ICONIP '98. Information Geometry of Neuro-Manifolds.
- Signal Decomposition by FastICA.
- Translation of motivation into action in the basal ganglia.
- Dynamics of cortical reorganization: Evidence for task- and modality-specific coding of plasticity.
- The effect of chaotic stimulation to induce Long-term potentiation in the hippocampal CA1 area.
- Neuro-flow Dynamics and Model of Hippocampal LTP/LTD under Time-structured Stimuli.
- Long-term potentiation and synaptic coding of time-varying inputs.
- Temporal-Pattern dependent spatial-distribution of LTP and LTD in Hippocampal CA1 area.
- BKYY Three Layer Net Learning, EM-Like Algorithm, and Selection Criterion for Hidden Unit Number.
- Theoretical concept of network pruning based on functional convergence.
- Statistical methods for construction of neural networks.
- Controlling Structural Information to Improve Generalization.
- Empirical Study on Generalization Capability of Neural Networks with respective to Network Complexity.
- Self-Organization of Shift-Invariant Receptive Fields through Pre- and Post-Synaptic Competition.
- "Complex receptive field" obtained by Informax coincides with the energy model for complex cells in the visual cortex.
- Self-organization of topographic mappings from cell layer to cell layer through generalized Hebb rules.
- Single-Neuron Hebb Learning Dynamics in the Presence of Inhibitory Autapses.
- Modelling contrast adaptation and contextual effects in primary visual cortex.
- Statistical learning in optimization: Gaussian modeling for population search.
- Neuro-Controllers Using Competitive Associative Nets Requiring Neither Parameterization of Plants Nor Special Training.
- An Analysis of Competitive Associative Nets.
- SUM-PI network: A new multilayered feed-forward network.
- A comparison of learning transfer in networks and humans.
- Two Co-adaptation Schemes of Evolution and Learning for An Optimal VQ Codebook.
- Modeling Dehydriding Behavior of Hydrogen Storage Materials with Neural Networks.
- Smoothing of Chemical Analysis Data by Neural Network.
- Structural Analysis of Multi-Storey Frames Through Neural Network.
- Computing Iterative Roots with Neural Networks.
- Medical Diagnosis using Hierarchical structured Selective NeuroFuzzy system.
- Logic Operation on an Excitable Field.
- The Nonlinear PCA approach to ICA.
- Two-stage blind deconvolution using state-space models.
- Adaptive algorithms for implementing the single-stage criterion for multichannel blind deconvolution.
- A method of blind separation on temporal structure of signals.
- Blind Separation for Convolutive Mixtures of Non-stationary Signals.
- Harnessing of Chaotic Dynamics for solving Combinatorial Optimization Problems.
- Signal Separation Method Using Independent Component Analysis.
- Combination of Fast and Slow Learning Methods for Fast Adaptation and Pruning of Redundant Cells.
- An Incremental Learning Method of GRBF with Re-Generation of Input Patterns. Application for Case Based Reasoning Systems.
- Parallel state space search for SAT with Lagrange Programming Neural Network.
- High Performance Recognition of Pathology Objects by Using Evolutionary Self Growing Network.
- Dynamics of the hippocampus: Multiple strategies.
- Nonlinear dynamics generating theta phase precession in hippocampal closed circuit and generation of episodic memory.
- Some theoretical animal associative learning questions and their relevance for the modelization of some aspects of psychotic states in humans.
- Dynamic Representations of Mutual Information Transmission in Human Brains Doing Mental Tasks.
- Genetic algorithms for the design of fuzzy neural networks.
- Molecular Self-Organisation in a Developmental Model for the Evolution of Large-Scale Artificial Neural Networks.
- Evaluating Input Dependency in a Feedforward Neural Network.
- Adaptive Regularization in a Constructive Cascade Network.
- A Structure Adapting Feature Map for Optimal Cluster Representation.
- A self-organizing neural network model of the primary visual cortex.
- Knowledge dependent perceptual groupung.
- From Receptive Fields to Connection Strengths.
- Perception of global orientation. Psychophysical and Computational Analyses on Tilt Illusion.
- Lateral inhibition model taken account of the duality of receptive fields and its behavior for RGB inputs.
- Q-learning with Recurrent Neural Networks as a Controller for the Inverted Pendulum Problem.
- Strategy acquisition for the game "Othello" based on reinforcement learning.
- Agents that Have Desires and Adaptive Behaviors.
- Hierarchical Reinforcement Learning of Low-Dimensional Subgoals and High-Dimensional Trajectories.
- Active Data Partitioning for Building Mixture Models.
- Learning Sound Source Localization by Interaction between Motion and Sensing. In a Non-liner Motor System.
- A consideration of perceptual-motor coordination with active and passive movements.
- Self-Development of Hand-Eye Coordination for Robotic Grasping via "Learn-by-Doing".
- A neural network model for extracting correlated information in sensory integration.
- Bayesian Ying-Yang System and Theory as a Unified Statistical Learning Approach: (V) Temporal Modeling for Perception and Control.
- Progress in Unsupervised Neural Nets for Blind Communication De-Mixing.
- Signal Separation Method Using Independent Component Analysis.
- Independent Component Analysis for Parallel Financial Time Series.
- Comparison Among Three Estimators For High Order Statistics.
- Rival Penalized Competitive Learning Based Separator on Binary Sources Separation.
- Direct rule extraction from a MLP network that performs whole life assurance risk assessment.
- A mathematical investigation for oligosaccharide analysis using neural network for better diagnosis.
- A formal model of an artificial neural network used to store and recognize the semantics of some sentences of natural language.
- A Model for Emotional Aspects on Visual Art Works.
- Data Mining using AI Techniques to Enhance Decision-Making and Investments in the Capital Markets.
- Knowledge extraction based multilayer feedforward neural networks.
- Analysis of Orthogonal Memory Patterns.
- Storage and recall of spatio-temporal sequences using any multi-associative neural networks.
- The Memory Capacity of Recurrent Neural Networks For Storing Spatio-temporal Sequences.
- Stochastic Resonance by Modulation Detecting Neuron.
- Static properties of a neural network composed of two kinds of neurons.
- Emergent synchronous patterns in a multilayer neural network.
- A Method to Evaluate Associated Temporal Activity of a Neural Group Characterized by Different Activation Levels.
- Fractal Structure of Linear Recurrent Neural Networks with Temporal Input.
- The inhibition beyond the receptive field of visual cortical neuron.
- Chracteristics improved by noise in pulse neural cell model.
- Plastic effect of feedback connections to memory compression and formation of knowledge structure based on hebb rule and inhibitory cells.
- Hybrid learning algorithm for curvature smoothing.
- Learning algorithm for intermodular connection networks for multimodular associative networks.
- Application of Evolved Neural Networks to Real World Task.
- Lagrange Programming Neural Network for Wire Routing Problem.
- Reliability Estimation of Electrical Parts by Using Evolutionary Neural Computation.
- Accelerating the Learning Speed of Multilayer Perceptrons with a New Error Function for Hidden Layer.
- Neural Approach to Time Series Prediction with Noise Addition.
- Rock porosity prediction using multilayer perceptrons.
- Chaotic Time Series Prediction via Hierarchical Bayesian Neural Net.
- The development of a feedforward NN for financial time-series forecasts.
- A Fuzzy-Hybrid Approach to Stock Trading.
- Model comparison for monthly forecasts of the CAC 40.
- Forecasting Precipitation with Integrated and Separated Pattern Generation using Virtual Terms for MLP Training.
- Neural network for time series prediction and its appication.
- RBF neural network is more suitable for function approximating than modeling in nonlinear time series analysis.
- Comparison Between Mixture of ARMA and Mixture of AR Model with Application to Time Series Forecasting.
- Facial Expression Synthesis by Caricature.
- A Study of ART1 Classification Method without Depending on the Presentation Order of Patterns.
- A Robust Segmentation Algorithm for the MRF Texture Images and Its Implementation by a Neural Circuitry.
- Pattern Classification Using Multiple SOMs.
- Adaptive Classification of Untypical Urinary Sediment Images Using Feedback Learning.
- Recognition system of pattern similarity in time series signals using neural network being composed of "biochemical neurons".
- Gray Scale Picture Transform into Binary Picture by Hopfield Neural Network.
- Vision Supporting System for Car Driver using Neural Network.
- Recognition of Hand-Written Characters by A Multi-Layered Competitive Net.
- Printed Chinese Optical Character Recognition by Neural Network.
- Numeral Recognition Using a Multi Neural Network Model.
- An Approach to Free Viewpoint Character Recognition by Using Modular Neural Network.
- Early fault detection for nuclear power plant using recurrent neural network.
- Autonomous Navigation of Mobile Robots using Neural Nets with Single Sided Reflex.
- Self-tuning neuro-PID for SIMO systems.
- Inverse Modeling of a Mobile Robot Using Feedback Error Learning.
- Noisy digit recognition with MLP and HMMs using modified cost function in MCE training.
- Application of SOM to quantitative chemical data analysis.
- An application of elisa to perfect hashing with deterministic ordering.
- Knowledge discovery from the MLP network that performs low back pain classification.
- A New Model of Recurrent Neural Networks for Speech Recognition.
- Connectioninst Parser for Japanese Sentences with Embedded Clauses.
- Neural networks for tsume-go problems.
- Bispectrum Estimation by Recurrent Network with Third-Order Moment Controllable Noise Source.
- Evaluation of the PCA encoding ability in speech recognition.
- Speaker adaptation based on spectral transformation with limited adaptation words.
- Learning of simple oscillating wave form by adaptive subspace SOM.
- Identification of a real open-channel irrigation system using a neural network model.
- A SOM with Virtual Connection and its Application to Fuzzy Systems.
- A telephone number corrector using a counterpropagation network.
- New and used bills classification using competitive neural network based on cepstrum pattern.
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