Please use this identifier to cite or link to this item:
http://earsiv.odu.edu.tr:8080/xmlui/handle/11489/3204
Title: | Reviewing and designing pre-processing units for RBF networks: initial structure identification and coarse-tuning of free parameters |
Authors: | Kayhan, Gokhan Ozdemir, Ali Ekber Eminoglu, Ilyas Ordu Üniversitesi 0000-0002-3367-8390 |
Keywords: | Counter propagation network (CPN) Fuzzy C-means (FCM) Gustafson-Kessel (GK) |
Issue Date: | 2013 |
Publisher: | SPRINGER LONDON LTD236 GRAYS INN RD, 6TH FLOOR, LONDON WC1X 8HL, ENGLAND |
Abstract: | This paper reviews some frequently used methods to initialize an radial basis function (RBF) network and presents systematic design procedures for pre-processing unit(s) to initialize RBF network from available input-output data sets. The pre-processing units are computationally hybrid two-step training algorithms that can be named as (1) construction of initial structure and (2) coarse-tuning of free parameters. The first step, the number, and the locations of the initial centers of RBF network can be determined. Thus, an orthogonal least squares algorithm and a modified counter propagation network can be employed for this purpose. In the second step, a coarse-tuning of free parameters is achieved by using clustering procedures. Thus, the Gustafson-Kessel and the fuzzy C-means clustering methods are evaluated for the coarse-tuning. The first two-step behaves like a pre-processing unit for the last stage (or fine-tuning stage-a gradient descent algorithm). The initialization ability of the proposed four pre-processing units (modular combination of the existing methods) is compared with three non-linear benchmarks in terms of root mean square errors. Finally, the proposed hybrid pre-processing units may initialize a fairly accurate, IF-THEN-wise readable initial model automatically and efficiently with a minimum user inference. |
URI: | http://doi.org/10.1007/s00521-012-1053-8 http://earsiv.odu.edu.tr:8080/xmlui/handle/11489/3204 |
Appears in Collections: | Deniz Bilimleri ve Teknolojisi |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.