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基于人工神经元网络的采场顶板质量评价模型
引用本文:王铁群,张玉祥,杨昌玲,张攀瑜,孔乐农,盛天松. 基于人工神经元网络的采场顶板质量评价模型[J]. 西安科技大学学报, 1995, 0(3)
作者姓名:王铁群  张玉祥  杨昌玲  张攀瑜  孔乐农  盛天松
作者单位:中国矿业大学,姚桥煤矿,庞庄煤矿
摘    要:根据神经网络理论,建立了采场顶板质量评价的人工神经网络模型,实例表明该模型的评价正确率高,是用于解决复杂非线性系统评价问题的有效方法。可望在煤矿开采领域其它评价问题中得以推广应用。

关 键 词:人工神经网络,采场顶板质量评价,BP学习算法

EVAL UATION MODEL FOR STOPE ROOF QUALITY ON THE BASIS OF ARTIFICIAL NEURAL NETWORK
Wang Tiequn,Zhang Yuxiang,Yang Changling. EVAL UATION MODEL FOR STOPE ROOF QUALITY ON THE BASIS OF ARTIFICIAL NEURAL NETWORK[J]. JOurnal of XI’an University of Science and Technology, 1995, 0(3)
Authors:Wang Tiequn  Zhang Yuxiang  Yang Changling
Abstract:This paper puts forward an evaluation model for stope roof quality by means of the theory of artificial neural network. The model has a higher evaluation accuracy, and this method is efficient for solving the problem of non-linear system evaluation, and it has a good prospect for solving other evaluation problems in the field of coal mining.
Keywords:artificial neural network  stope roof quality evaluation  BP study algorithm
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