重庆大学学报2017，Vol.40Issue(3)：76-87,12.DOI:10.11835/j.issn.1000-582X.2017.03.009
基于布谷鸟搜索神经网络的微波加热温度预测模型
Temperature prediction model in industrial microwave heating based on cuckoo search algorithm optimizing neural network
摘要
Abstract
Microwave heating,an alternative heating method,can directly interact with objects to be heated.This method will dramatically improve energy utilization rate,which is clean,energy-saving and emission reduction.According to the nonlinear change of temperature when industrial material is used as microwave heating load,regarding the dimensional and mass parameters in microwave industrial heating processes as research objects,and also based on the functional-linked neural network to extract the deep features of sample data,a cuckoo search algorithm is proposed to optimize the parameters of BP neural network,thus establishing the industrial microwave heating temperature prediction model based on the “data driven” method.Simulation results show the accuracy and instantaneity of the temperature prediction model proposed in this paper.关键词
微波工业加热/温度预测/泛函连接神经网络/布谷鸟搜索算法/BP神经网络Key words
industrial microwave heating/temperature prediction/functional-linked neural network/cuckoo search algorithm/BP neural network分类
信息技术与安全科学引用本文复制引用
许磊,赵友金..基于布谷鸟搜索神经网络的微波加热温度预测模型[J].重庆大学学报,2017,40(3):76-87,12.基金项目
国家重点基础研究973课题资助项目(2013CB328903).Supported by National Prigram on Key Basic Research Project of China(973 Program)(2013CB328903). （2013CB328903）
