Advances in Artificial Neural Systems

Desirability Improvement of Committee Machine to Solve Multiple Response Optimization Problems

Variance Sensitivity Analysis of Parameters for Pruning of a Multilayer Perceptron: Application to a Sawmill Supply Chain Simulation Model

Stem Control of a Sliding-Stem Pneumatic Control Valve Using a Recurrent Neural Network

Visualizing Clusters in Artificial Neural Networks Using Morse Theory

Globally Exponential Stability of Impulsive Neural Networks with Given Convergence Rate

Erratum to “Unsupervised Neural Techniques Applied to MR Brain Image Segmentation”

Using Ensemble of Neural Networks to Learn Stochastic Convection Parameterizations for Climate and Numerical Weather Prediction Models from Data Simulated by a Cloud Resolving Model

Fuzzified Data Based Neural Network Modeling for Health Assessment of Multistorey Shear Buildings

A Unified Framework for GPS Code and Carrier-Phase Multipath Mitigation Using Support Vector Regression

Inverse Analysis of Crack in Fixed-Fixed Structure by Neural Network with the Aid of Modal Analysis

An Efficient Constrained Learning Algorithm for Stable 2D IIR Filter Factorization

Intelligent Systems Developed for the Early Detection of Chronic Kidney Disease

Hopfield Neural Networks with Unbounded Monotone Activation Functions

Advances in Unsupervised Learning Techniques Applied to Biosciences and Medicine

A Radial Basis Function Spike Model for Indirect Learning via Integrate-and-Fire Sampling and Reconstruction Techniques

Advances in Artificial Neural Systems

Table of Contents

Table of Contents

Desirability Improvement of Committee Machine to Solve Multiple Response Optimization Problems

Variance Sensitivity Analysis of Parameters for Pruning of a Multilayer Perceptron: Application to a Sawmill Supply Chain Simulation Model

Stem Control of a Sliding-Stem Pneumatic Control Valve Using a Recurrent Neural Network

Visualizing Clusters in Artificial Neural Networks Using Morse Theory

Globally Exponential Stability of Impulsive Neural Networks with Given Convergence Rate

Erratum to “Unsupervised Neural Techniques Applied to MR Brain Image Segmentation”

Using Ensemble of Neural Networks to Learn Stochastic Convection Parameterizations for Climate and Numerical Weather Prediction Models from Data Simulated by a Cloud Resolving Model

Fuzzified Data Based Neural Network Modeling for Health Assessment of Multistorey Shear Buildings

A Unified Framework for GPS Code and Carrier-Phase Multipath Mitigation Using Support Vector Regression

Inverse Analysis of Crack in Fixed-Fixed Structure by Neural Network with the Aid of Modal Analysis

An Efficient Constrained Learning Algorithm for Stable 2D IIR Filter Factorization

Intelligent Systems Developed for the Early Detection of Chronic Kidney Disease

Hopfield Neural Networks with Unbounded Monotone Activation Functions

Advances in Unsupervised Learning Techniques Applied to Biosciences and Medicine

A Radial Basis Function Spike Model for Indirect Learning via Integrate-and-Fire Sampling and Reconstruction Techniques