RBF Neural Networks, Multiobjective Optimization and Time Series Forecasting

Authors:
Jesús González;Ignacio Rojas;Héctor Pomares;Julio Ortega
Affiliations:
-;-;-;-
Venue:
IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Connectionist Models of Neurons, Learning Processes and Artificial Intelligence-Part I
Year:
2001

Citing 8
Cited 5

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

Genetic algorithms + data structures = evolution programs (3rd ed.)
Analysis of the Functional Block Involved in the Design of Radial Basis Function Networks

Neural Processing Letters
Genetic Algorithms for Multiobjective Optimization: FormulationDiscussion and Generalization

Proceedings of the 5th International Conference on Genetic Algorithms
A systematic approach to a self-generating fuzzy rule-table forfunction approximation

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Cooperative-competitive genetic evolution of radial basis function centers and widths for time series prediction

IEEE Transactions on Neural Networks
Growing radial basis neural networks: merging supervised and unsupervised learning with network growth techniques

IEEE Transactions on Neural Networks
Orthogonal least squares learning algorithm for radial basis function networks

IEEE Transactions on Neural Networks
On the application of orthogonal transformation for the design and analysis of feedforward networks

IEEE Transactions on Neural Networks

Evolved RBF Networks for Time-Series Forecasting and Function Approximation

PPSN VII Proceedings of the 7th International Conference on Parallel Problem Solving from Nature
Improving generalization of radial basis function network with adaptive multi-objective particle swarm optimization

SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
The antiquadrupolar phase of the biquadratic neural network

IWANN'03 Proceedings of the Artificial and natural neural networks 7th international conference on Computational methods in neural modeling - Volume 1
Studying the capacity of grammatical encoding to generate FNN architectures

IWANN'03 Proceedings of the Artificial and natural neural networks 7th international conference on Computational methods in neural modeling - Volume 1
Radial basis function network based on time variant multi-objective particle swarm optimization for medical diseases diagnosis

Applied Soft Computing

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents the problem of optimizing a radial basis function neural network from training examples as a multiobjective problem and proposes an evolutionary algorithm to solve it properly. This algorithm incorporates some heuristions the mutation operators to better guide the search towards good solutions. An application to the Mackey-Glass chaotic time series is presented. The prediction accuracy of the proposed method is compared with that of other approaches in terms of the root mean squared error.