Improving RBF networks performance in regression tasks by means of a supervised fuzzy clustering

Authors:
Antonino Staiano;Roberto Tagliaferri;Witold Pedrycz
Affiliations:
Dipartimento di Matematica ed Informatica, Universití di Salerno, Via Ponte don Melillo, 84084 Fisciano (Sa), Italy;Dipartimento di Matematica ed Informatica, Universití di Salerno, Via Ponte don Melillo, 84084 Fisciano (Sa), Italy;Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada
Venue:
Neurocomputing
Year:
2006

Citing 13
Cited 21

Original Contribution: On the training of radial basis function classifiers

Neural Networks
Genetic algorithms + data structures = evolution programs (3rd ed.)

Genetic algorithms + data structures = evolution programs (3rd ed.)
Conditional Fuzzy C-Means

Pattern Recognition Letters - Special issue on fuzzy set technology in pattern recognition
Neural Networks for Pattern Recognition

Neural Networks for Pattern Recognition
Genetic Algorithms in Search, Optimization and Machine Learning

Genetic Algorithms in Search, Optimization and Machine Learning
Pattern Recognition with Fuzzy Objective Function Algorithms

Pattern Recognition with Fuzzy Objective Function Algorithms
Fuzzy Models and Algorithms for Pattern Recognition and Image Processing

Fuzzy Models and Algorithms for Pattern Recognition and Image Processing
Supervised fuzzy clustering for the identification of fuzzy classifiers

Pattern Recognition Letters
Evolutionary semi-supervised fuzzy clustering

Pattern Recognition Letters
Partially supervised clustering for image segmentation

Pattern Recognition
Algorithms of fuzzy clustering with partial supervision

Pattern Recognition Letters
Conditional fuzzy clustering in the design of radial basis function neural networks

IEEE Transactions on Neural Networks
A new clustering technique for function approximation

IEEE Transactions on Neural Networks

A Fuzzy Clustering Algorithm to Estimate the Parameters of Radial Basis Functions Neural Networks and Its Application to System Modeling

SETN '08 Proceedings of the 5th Hellenic conference on Artificial Intelligence: Theories, Models and Applications
A granular-oriented development of functional radial basis function neural networks

Neurocomputing
An experimental study of the extended NRBF regression model and its enhancement for classification problem

Neurocomputing
Visual RBF network design based on Star Coordinates

Advances in Engineering Software
Using multilayer perceptrons as receptive fields in the design of neural networks

Neurocomputing
Fuzzy Radial Basis Function Neural Networks with Information Granulation and Its Genetic Optimization

ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part II
Clustering: A neural network approach

Neural Networks
Polynomial-based radial basis function neural networks (P-RBF NNs) and their application to pattern classification

Applied Intelligence
The design methodology of radial basis function neural networks based on fuzzy K-nearest neighbors approach

Fuzzy Sets and Systems
A hybrid computing scheme for forward and reverse mappings of metal inert gas welding process

International Journal of Computational Intelligence Studies
Polynomial-based radial basis function neural networks (P-RBF NNs) realized with the aid of particle swarm optimization

Fuzzy Sets and Systems
Classification by evolutionary generalised radial basis functions

International Journal of Hybrid Intelligent Systems - Advances in Intelligent Agent Systems
A novel training algorithm for RBF neural network using a hybrid fuzzy clustering approach

Fuzzy Sets and Systems
Optimization of tuning parameters for open node fault regularizer

Neurocomputing
Modeling of input-output relationships for a plasma spray coating process using soft computing tools

Applied Soft Computing
Design of face recognition algorithm using PCA -LDA combined for hybrid data pre-processing and polynomial-based RBF neural networks: Design and its application

Expert Systems with Applications: An International Journal
The design of polynomial function-based neural network predictors for detection of software defects

Information Sciences: an International Journal
Letters: A simple and effective algorithm for implementing particle swarm optimization in RBF network's design using input-output fuzzy clustering

Neurocomputing
Nonlinear identification of a gasoline HCCI engine using neural networks coupled with principal component analysis

Applied Soft Computing
On training RBF neural networks using input--output fuzzy clustering and particle swarm optimization

Fuzzy Sets and Systems
Fuzzy Radial Basis Function Neural Networks with information granulation and its parallel genetic optimization

Fuzzy Sets and Systems

Quantified Score

Hi-index	0.01

Visualization

Abstract

Several fuzzy c-means based clustering techniques have been developed to tackle many problems in a number of areas such as pattern recognition, image analysis, communication, data mining. Among all, a common use of such a class of clustering algorithms is in the training of radial basis function neural networks (RBFNNs). In this paper, we describe a novel approach to fuzzy clustering, which organizes the data in clusters on the basis of the input data and a 'prototype' regression function built, in the output space, as a summation of a number of linear local regression models. This methodology is shown to be effective in the training of RBFNNs leading to improved performance with respect to other clustering algorithms.