Application of Distributed GA-Based RBF Neural Network in Fire Detection

Author

Wang, Hairong ; Yang, Weiguo ; Jiang, Huiling ; Wang, Yun

Author_Institution

Dept. of fire Eng., Armed Police Acad., Langfang

Volume

3

fYear

2008

fDate

18-20 Oct. 2008

Firstpage

398

Lastpage

402

Abstract

Distributed neural network based on RBF network is used to establish the model of fire detection in view of complexity of fire process and multiplicity of fire environment. For guaranteeing network adaptability, the number of subnets neural network and degree of sample belong to subnet are determined by fuzzy nearest clustering, RBF network is optimized though a improved genetic algorithm by adaptive genetic algorithm is improved by auto-adaptive crossover probability and the mutation probability that determined the adaptation value. The feasibility of adaptability of the model is proved through training and testing in fire detection model.

Keywords

data analysis; fuzzy set theory; genetic algorithms; learning (artificial intelligence); pattern clustering; radial basis function networks; adaptive genetic algorithm; autoadaptive crossover probability; distributed GA-based RBF neural network; fire detection model; fire environment; fuzzy nearest clustering; network adaptability; subnets neural network; Artificial neural networks; Computer applications; Computer networks; Distributed computing; Fires; Fuzzy neural networks; Genetic algorithms; Genetic mutations; Neural networks; Radial basis function networks; RBF network; distributed Neural Network; fire detection; genetic algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Natural Computation, 2008. ICNC '08. Fourth International Conference on

Conference_Location

Jinan

Print_ISBN

978-0-7695-3304-9

Type

conf

DOI

10.1109/ICNC.2008.851

Filename

4667169