Title of article :
OPTIMIZING HYBRID BASIS FUNCTION TYPES IN FUNCTIONAL NETWORK DESIGN VIA CULTURAL ALGORITHM
Author/Authors :
Guo, Peigang University for Nationalities - College of Information Science and Engineering Guangxi, China , Zhou, Yongquan University for Nationalities - College of Information Science and Engineering Guangxi, China , Zhou, Yongquan Guangxi Key Laboratory of Hybrid Computation and IC Design Analysis, China
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 (R^2 a), 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
Journal title :
mathematical and computational applications
Journal title :
mathematical and computational applications
