基于神经网络的本安电路评价方法的研究  

Study of Judgment Methods of Intrinsically Safe Circuit Based On Neural Network

作　　者：朱世安[1] 

机构地区：[1]煤炭科学研究总院沈阳研究院,辽宁抚顺113001

出　　处：《煤矿安全》2009年第8期8-12,共5页Safety in Coal Mines

基　　金："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。Through discussing the main factors of impacting the capacity of the Intrinsically Safe Circuit ignited, and using neural net-work 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.

关 键 词：神经网络 本安电路 判定 

分 类 号：TD687[矿业工程—矿山机电]