张绍和, 赵显富, 鲁凡, 张祖平. 钻头配方设计神经网络专家系统[J]. 煤田地质与勘探, 1998, 26(5): 69-72.
引用本文: 张绍和, 赵显富, 鲁凡, 张祖平. 钻头配方设计神经网络专家系统[J]. 煤田地质与勘探, 1998, 26(5): 69-72.
ZHANG Shao-he, ZHAO Xian-fu, LU Fan, ZHANG Zu-ping. EXPERT SYSTEM OF NEURAL NETWORKS BASED ON BACK PROPAGATING ALGORITHM FOR BIT DESIGN[J]. COAL GEOLOGY & EXPLORATION, 1998, 26(5): 69-72.
Citation: ZHANG Shao-he, ZHAO Xian-fu, LU Fan, ZHANG Zu-ping. EXPERT SYSTEM OF NEURAL NETWORKS BASED ON BACK PROPAGATING ALGORITHM FOR BIT DESIGN[J]. COAL GEOLOGY & EXPLORATION, 1998, 26(5): 69-72.

钻头配方设计神经网络专家系统

EXPERT SYSTEM OF NEURAL NETWORKS BASED ON BACK PROPAGATING ALGORITHM FOR BIT DESIGN

  • 摘要: 利用人工神经网络中的BP算法,设计的金刚石钻头配方神经网络专家系统具有知识规则较少、界面友好等特点,用于开发钻头配方设计是可行的。实践中经与相同设计条件的钻头相比,其使用效率和寿命均有所提高。

     

    Abstract: Utilizing the back-propagating algorithm in artificial neural networks,the designed expert system of neural networks for diamond bit prescription is characterized by the lesser regulation and friend interface,it can be used to develop the design of bit prescription.Based on the comparison with the bit under the same design condition in rpactice,its effect and life all are increased.

     

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