Robust maximum likelihood training of heteroscedastic probabilistic neural networks

Mutual Information Theory for Adaptive Mixture Models

IEEE Transactions on Pattern Analysis and Machine Intelligence

Optimization of the kernel functions in a probabilistic neural network analyzing the local pattern distribution

Neural Computation

Applying Mutual Information to Adaptive Mixture Models

IDEAL '00 Proceedings of the Second International Conference on Intelligent Data Engineering and Automated Learning, Data Mining, Financial Engineering, and Intelligent Agents

Generalized locally recurrent probabilistic neural networks with application to text-independent speaker verification

Neurocomputing

Analysing company performance using templates

Intelligent Data Analysis

Is taking natural log superior to not? - Using a characteristics oriented fuzzy Hopfield neural network to identify probability density functions

Expert Systems with Applications: An International Journal

Construction of tunable radial basis function networks using orthogonal forward selection

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

On detecting nonlinear patterns in discriminant problems

Information Sciences: an International Journal

Regression based D-optimality experimental design for sparse kernel density estimation

Neurocomputing

Independent residual analysis for temporally correlated signals

IWANN'03 Proceedings of the Artificial and natural neural networks 7th international conference on Computational methods in neural modeling - Volume 1

Non-linear system identification using particle swarm optimisation tuned radial basis function models

International Journal of Bio-Inspired Computation

Particle swarm optimization aided orthogonal forward regression for unified data modeling

IEEE Transactions on Evolutionary Computation

Probability density estimation with tunable kernels using orthogonal forward regression

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on gait analysis

Orthogonal least square center selection technique - A robust scheme for multiple source Partial Discharge pattern recognition using Radial Basis Probabilistic Neural Network

Expert Systems with Applications: An International Journal

Robust Heteroscedastic Probabilistic Neural Network for multiple source partial discharge pattern recognition - Significance of outliers on classification capability

Expert Systems with Applications: An International Journal

Bayesian radial basis function neural network

IDEAL'05 Proceedings of the 6th international conference on Intelligent Data Engineering and Automated Learning

Autonomous and deterministic probabilistic neural network using global k-means

ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I

Orthogonal forward selection for constructing the radial basis function network with tunable nodes

ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I

Average framing linear prediction coding with wavelet transform for text-independent speaker identification system

Computers and Electrical Engineering

Neural network and wavelet average framing percentage energy for atrial fibrillation classification

Computer Methods and Programs in Biomedicine