Next Article in Journal
On Characterization of Inextensible Flows of Curves According to Type-2 Bishop Frame E3
Previous Article in Journal
Fault Diagnosis of Shaft- Ball Bearing System Using One-Way Analysis of Variance
Article Menu

Article Versions

Export Article

Open AccessArticle
Math. Comput. Appl. 2014, 19(1), 50-68; doi:10.3390/mca19010050

Optimizing Hybrid Basis Function Types in Functional Network Design via Cultural Algorithm

1
College of Information Science and Engineering, Guangxi University for Nationalities, Nanning, Guangxi, 530006, China
2
Guangxi Key Laboratory of Hybrid Computation and IC Design Analysis, Nanning, Guangxi, 530006, China
*
Author to whom correspondence should be addressed.
Published: 1 April 2014
Download PDF [793 KB, uploaded 29 February 2016]

Abstract

In this paper, a novel functional network designing method based on cultural algorithm is proposed. This method can get the hybrid basis function and its parameters with optimal searching achieving the learning between functional network structure and the functional parameters, and each model of the initial set is evaluated by the adjusted R − squared criterion (Ra2) , to find the optimal basis functions and functional parameters. Finally, the simulation experiments show that the proposed constructive functional network design scheme is feasible, and can obtain better generalization property.
Keywords: functional network; cultural algorithms (CA); genetic algorithm (GA); hybrid basis function functional network; cultural algorithms (CA); genetic algorithm (GA); hybrid basis function
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Guo, P.; Zhou, Y. Optimizing Hybrid Basis Function Types in Functional Network Design via Cultural Algorithm. Math. Comput. Appl. 2014, 19, 50-68.

Show more citation formats Show less citations formats

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Math. Comput. Appl. EISSN 2297-8747 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top