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基于人工神经网络的冲击地压预测 被引量:3

PREDICTION OF ROCK BURST BY BP NETWORK
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摘要 本文应用Matlab语言编写了BP神经网络程序,并对BP算法做了一定的改进,用此算法 对冲击地压进行了预测,结果令人满意。 In this paper using the MATLAB a program combining the genetic algorithm and the improved BP networks is compiled to forecast the rock burst. It proves that the method is feasible and the result is satisfactory.
出处 《中国矿业》 北大核心 2004年第10期67-69,共3页 China Mining Magazine
关键词 BP网络 冲击地压 MATLAB 预测 BP Network, Rock Burst, Matlab, Prediction
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参考文献4

  • 1Weymacre N, Martens J P. A fast and robust learning algorithm for feedforward neural networks [J]. Neural Networks, 1991,4 (3): 363-369.
  • 2David J J, frenzel J F. Training Product Unit Neural Network with Genetic Algorithms [J]. IEEE Expert, 1993, 8: 26-33.
  • 3Rumelhart D E, Hinton G E. Learning internal representations by back-propagation error [J]. Nature, 1986, 323 (9): 533-536.
  • 4William C Carpenter, Margerry E Hoffman. Guidelinesfor the selection of network architecture [J ]. Artificial Intelligence for Engineering Design Analysis and Manufacturing, 1997, 11(5): 395-408.

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