摘要
人工神经网络技术已被广泛应用于社会经济发展各领域中的非线性复杂问题的处理。文章阐述了反向传播神经网络的工作原理,研究了BP神经网络仿真预测模型在社会经济发展典型领域,如公共安全与灾害防治、医疗、交通、教育、环保及农业、工业、第三产业经济等领域的应用,研究表明,BP神经网络具有广泛的适用性和应用价值。
The artificial neural network(ANN)had been widely used to deal with the nonlinear complex problems in various fields of social and economic development.This paper describes the working principle of the back propagation(BP)network and researches the application of BP network's simulation and prediction models in the typical areas of social and economic development,such as public safety and disaster prevention,medical treatment,traffic,education,environment protection as well as agriculture,industry and the third industry's economy.The research showed that the BP network had a wide range of practicability and application value.
作者
关成立
杨岳
Guan Chengli;Yang Yue(Net Center,Yangjiang Polytechnic,Yangjiang,Guangdong 529566,China)
出处
《计算机时代》
2021年第5期46-48,52,共4页
Computer Era
基金
广东省青年创新人才科技项目(2018GkQNCX126)
广东省质量工程项目(GDJG2019446
JGGZKZ2020184)
阳江职业技术学院科技项目(2019kjzd06
2020kjyb05)。
关键词
反向传播神经网络
社会发展
智慧
应用
back propagation neural network
social development
intelligence
application
