In this paper, a new RBF neural network called a Dual-orthogonal Radial Basis Function (DRBF) time series predictor is proposed. The main contribution is that a ...

A new structure of Radial Basis Function (RBF) neural network called the Dual-orthogonal RBF Network (DRBF) is introduced for nonlinear time series ...

This is a repository copy of Dual-Orthogonal Radial Basis Function Networks for Nonlinear. Time Series Prediction. White Rose Research Online URL for this ...

Jan 8, 2022 · Billings, S.A and Hong, X (1998) Dual-orthogonal radial basis function networks for nonlinear time series prediction. Neural Networks, 11 ...

Apr 1, 1998 · Dual-orthogonal radial basis function networks for nonlinear time series prediction. Authors: Steve A. Billings. Steve A. Billings.

ABSTRACT: This paper presents a two-level learning method for designing an optimal Radial Basis Function Network (RBFN) using Adaptive Velocity Update ...

Billings, S. A. and Hong, X. (1998). Dual-orthogonal radial basis function networks for nonlinear time series prediction. Neural Networks, 11(3):479–493.

The radial basis function RBF network has its foundation in the conventional approximation the- ory. It has the capability of universal approximation.

Jun 1, 2022 · This paper presents a time series prediction using radial basis function (RBF) network with the affine transformation of training data.

Oct 22, 2024 · This paper presents a new encoding scheme for training radial basis function (RBF) networks by genetic algorithms (GAs).