BPANN在仪表线性化中的应用  

Application of BPANN for linearization of transducers and instruments

作　　者：焦雪勐[1] 邹岳华[1] 游康[1] 秦永烈[1] 

机构地区：[1]上海理工大学管理学院,上海200093

出　　处：《上海理工大学学报》2004年第4期363-367,共5页Journal of University of Shanghai For Science and Technology

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.

关 键 词：反向逆传播人工神经网络 线性化 半导体热敏电阻 

分 类 号：N945[自然科学总论—系统科学]