Time Series Prediction Using Evolving Radial Basis Function Networks with New Encoding Scheme

Elsevier Science
Publication Type:
Journal Article
Neurocomputing, 2008, 71 (7-9), pp. 1388 - 1400
Issue Date:
Full metadata record
Files in This Item:
Filename Description Size
2006010399OK.pdf479.35 kB
Adobe PDF
This paper presents a new encoding scheme for training radial basis function (RBF) networks by genetic algorithms (GAs). In general, it is very difficult to select the proper input variables and the exact number of nodes before training an RBF network. I
Please use this identifier to cite or link to this item: