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Application of MBAM Neural Network in CNC Machine Fault Diagnosis 被引量:1
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作者 宋刚 胡德金 《Journal of Donghua University(English Edition)》 EI CAS 2004年第4期131-138,共8页
In order to improve the bidirectional associative memory(BAM) performance, a modified BAM model(MBAM) is used to enhance neural network(NN)’s memory capacity and error correction capability, theoretical analysis and ... In order to improve the bidirectional associative memory(BAM) performance, a modified BAM model(MBAM) is used to enhance neural network(NN)’s memory capacity and error correction capability, theoretical analysis and experiment results illuminate that MBAM performs much better than the original BAM. The MBAM is used in computer numeric control(CNC) machine fault diagnosis, it not only can complete fault diagnosis correctly but also have fairly high error correction capability for disturbed Input Information sequence.Moreover MBAM model is a more convenient and effective method of solving the problem of CNC electric system fault diagnosis. 展开更多
关键词 双向结合记忆 mbam神经网络 CNC 计算机数字控制 记忆容量故障诊断
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