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测量仪表特性线性化的神经网络方法
APPLICATION OF NEURAL NETWORK IN THE LINEARIZATION OF INSTRUMENTATION
【摘要】 提出一种用BP神经网络实现的测量仪表的通用线性化方法.这种线性化方法不需要依赖仪表特性的数学模型,也不需要研制专用线路.只要网络结构合理,通过训练可达到较高的精度.
【Abstract】 This paper gives a general approach to the lineariration of measuring instrumentation, which depends on BP algorithm based Neural Network. The BP linearizing network does not need to design special electric circuits or programs. So long as the structure of the network and the learning algorithm are reasonable, high accuracy can be attained through training.
- 【文献出处】 北京轻工业学院学报 ,JOURNAL OF BEIJING INSTITUTE OF LIGHT INDUSRY , 编辑部邮箱 ,1998年03期
- 【分类号】TH706
- 【被引频次】1
- 【下载频次】22