Title :
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
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;
Conference_Titel :
Natural Computation, 2008. ICNC '08. Fourth International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-0-7695-3304-9
DOI :
10.1109/ICNC.2008.851
