摘要
介绍了小波神经网络的模型、算法和分类,在此基础上研究了其在压力传感器温度补偿方面的应用,给出了该网络实现温度补偿的训练过程及结果,根据实验数据得出了相关结论,并指出了应用时存在的问题和今后的研究方向.
The paper mainly introduces the model, arithemetic and types of wavelet neural network,then introduce the aplication of pressure trainging process and result of realizing temperature compensation. And qccrding the result of the lab experimental data put, foresrd the applicaionprohlems and future research direction in this field.
出处
《陕西科技大学学报(自然科学版)》
2009年第2期84-87,91,共5页
Journal of Shaanxi University of Science & Technology
关键词
小波神经网络
传感器
温度补偿
wavelet neural network sensor temperature compensation