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神经网络模式识别技术在化学侦检领域的应用
引用本文:张国胜.神经网络模式识别技术在化学侦检领域的应用[J].化学传感器,2011,31(1):54-59.
作者姓名:张国胜
作者单位:防化研究院,北京,102205
摘    要:介绍了神经网络技术的研究现状,特别是在化学领域的应用情况,以及反向传播人工神经网络(BP-ANN)的基本原理和算法.结合波谱解析和化学传感器阵列两个方面对神经网络模式识别技术在化学毒剂侦检领域的应用特点进行了分析.指明了ANN模式识别技术在应用中存在的问题,并对该方向今后的发展提出了建议.

关 键 词:神经网络  模式识别  化学毒剂  侦检

Application of artificial neural network pattern recognition technology to the field of chemical reconnaissance and detection
Zhang Guo-sheng.Application of artificial neural network pattern recognition technology to the field of chemical reconnaissance and detection[J].Chemical Sensors,2011,31(1):54-59.
Authors:Zhang Guo-sheng
Affiliation:Zhang Guo-sheng(Research Institute of Chemical Defence,Beijing 102205,China)
Abstract:The current situation of artificial neural network(ANN) researches,especially its application in chemical field and error back-propagation theory and algorithm,are introduced.Its application properties in the field of chemical reconnaissance and detection are analyzed with respects to spectrum interpretation and chemical sensors array.The main problems are indicated.Some suggestions on futural development are presented.
Keywords:artificial neural network  pattern recognition  chemical agents  reconnaissance and detection  
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