摘要
讨论了传感器、仪表利用软件实现线性化的优点及反向逆传播人工神经网络(BPANN)的构成.研究了半导体热敏电阻(SCTR)线性化的BPANN方法,并用MATLAB具体实现,得到了SC TR的线性特性.用插值法检验了该方法的有效性.
The advantages of using software to realize the linearization of transducers and instruments, and the construction of back propagation artificial neural networks(BPANN) are discussed.The BPANN method utilized to realize the linearization of semiconduction thermoresistor is studied by means of MATLAB and the linear characteristics of SCTR are thus obtained.The effectiveness of the method is confirmed by serial test data combined with interpolation approach.
出处
《上海理工大学学报》
CAS
北大核心
2004年第4期363-367,共5页
Journal of University of Shanghai For Science and Technology
关键词
反向逆传播人工神经网络
线性化
半导体热敏电阻
back propagation arificial neural networks
linearization
semiconduction themoresistor
