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《Fuzzy Systems and Mathematics》 2018-03
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Fire Recognition Model Design via GA Optimization T-S Cloud Inference Network

ZHANG Xiu-ling;HOU Dai-biao;QI Qing;LI Jia-huan;ZHANG Cheng-cheng;DAI Jing-huan;Key Laboratory of Industrial Computer Control Engineering of Hebei Province,Yanshan University;National Engineering Research Center for Equipment and Technology of Cold Strip Rolling,Yanshan University;  
Aiming at the problems of low accuracy,false positives,missing reports and generalization ability in traditional fire alarm system,A fire detection model of T-S cloud inference network based on GA(Genetic Algorithm)is designed,and the model is trained and tested.and the T-S cloud reasoning network and the fuzzy neural network are compared with the recognition results of the fire signal,and the simulation results of MATLAB are given.The result of simulation shows that the accuracy of the fire detection model is higher,and the error between the test data and the expected output is smaller.This model can improve the recognition accuracy and generalization ability of the fire signal.
【Fund】: 河北省自然科学基金-钢铁联合研究基金资助项目(E2015203354);; 河北省高校创新团队领军人才培育计划项目(LJRC013);; 河北省教育厅科学研究计划河北省高等学校自然科学研究重点项目(ZD2016100);; 2016年燕山大学基础研究专项培育课题(16LGY015);; 河北省高等教育学会高等教育科学研究课题重点课题(GJXHZ2015-1)
【CateGory Index】: TP18;TU998.1
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