| 采矿方法模糊优选的神经网络模型构造及其应用 |
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| 引用本文： | 吴爱祥,郭立,余健,阳雨平,肖雄.采矿方法模糊优选的神经网络模型构造及其应用[J].矿冶工程,2003,23(3):6-8,11. |
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| 作者姓名： | 吴爱祥 郭立 余健 阳雨平 肖雄 |
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| 作者单位： | 中南大学,资源安全与工程学院,湖南,长沙,410083 |
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| 基金项目： | 国家自然科学基金资助项目(50074034),湖南省自然科学基金项目(02JJY2078)和高等学校优秀青年教师教学科研奖励计划资助 |
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| 摘 要： | 应用神经网络模式识别原理，构建一种人工神经网络(ANN)——弹性神经网络，能较好地解决常用BP神经网络梯度算法中可能出现的收敛缓慢和局部最小问题，将模型应用于大红山铜矿缓倾斜中厚矿体采矿方法模糊优选，与用模糊数学法得出的结论基本一致。终选出的采矿方法工业试验后取得了显著成效，证明该决策方法切实可行。
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| 关 键 词： | 采矿方法 弹性神经网络 模糊优选 递推算法 模式识别 缓倾斜中厚矿体 |
Neural Network Model Construction and Its Application in Fuzzily Optimization of Mining Method |
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| WU Ai xiang,GUO li,YU Jian,YANG Yu ping,XIAO Xiong.Neural Network Model Construction and Its Application in Fuzzily Optimization of Mining Method[J].Mining and Metallurgical Engineering,2003,23(3):6-8,11. |
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| Authors: | WU Ai xiang GUO li YU Jian YANG Yu ping XIAO Xiong |
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| Abstract: | A ANN(artificial neural network)--an elastic neural network is constructed by applying the identifying principle of neural network patterns, overcoming better the show convergence and local minimium occurring in BP neural network grads algorithm. The ANN has been applied to fuzzy optimization of mining methods of show obliquity and middle thickness orebody in Dahongshan Copper mine. The results obtained are about the same as the results obtained using fuzzy mathematics. Great success has been achieved using the finally selected mining methods in the industrial tests. The ANN has proved to be feasible. |
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| Keywords: | mining method elastic neural network fuzzy optimization recursion algorithm |
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