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基于神经网络的本安电路评价方法的研究
引用本文:朱世安. 基于神经网络的本安电路评价方法的研究[J]. 煤矿安全, 2009, 40(8)
作者姓名:朱世安
作者单位:煤炭科学研究总院沈阳研究院,辽宁,抚顺,113001
基金项目:“十一五”科技支撑计划项目(2007BAK22B02-01)
摘    要:讨论了影响本安电路引燃能力的主要影响因素,并利用神经网络建立本安电路判定预估模型,用验证数据和实际检验数据进行了验证,取得了预期的结果,为实现计算机判定本安电路建立了基础研究。

关 键 词:神经网络  本安电路  判定

Study of Judgment Methods of Intrinsically Safe Circuit Based On Neural Network
ZHU Shi-an. Study of Judgment Methods of Intrinsically Safe Circuit Based On Neural Network[J]. Safety in Coal Mines, 2009, 40(8)
Authors:ZHU Shi-an
Affiliation:Shenyang Branch of China Coal Research Institute;Fushun 113001;China
Abstract:Through discussing the main factors of impacting the capacity of the Intrinsically Safe Circuit ignited,and using neural network to construct a predicting model,and verified the model by some actual test data and verification data,and achieved the desired results,so that established the basic research for the realization of judgment intrinsically safe circuit by computer.
Keywords:neural network  intrinsically safe circuit  judgment  
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