摘要
为了获得更准确的预测结果及更优良的预测性能,将遗传退火算法与小波神经网络相结合,设计了一种基于遗传退火优化的小波神经网络预测模型。利用MATLAB开发出界面友好、使用方便的图形用户界面,通过实例仿真进行了验证。
To obtain more accurate prediction results and better predicted value,a new prediction model which is called wavelet neural network based on genetic annealing optimization is designed.The graphical interface with friendly interface and convenient use is developed by using MATLAB.The new model is verified by the example simulation.
作者
朱如鹏
俞莎莎
李苗苗
赵英豪
王宇
ZHU Rupeng;YU Shasha;LI Miaomiao;ZHAO Yinghao;WANG Yu(College of Mechanical and Electrical Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China)
出处
《机械制造与自动化》
2020年第2期117-120,141,共5页
Machine Building & Automation
基金
国家科技重大专项项目(2015ZX04001002)。
关键词
小波神经网络
遗传退火算法
预测模型
wavelet neural network
genetic annealing algorithm
prediction model