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基于人工神经网络的铜合金时效性能预测建模

刘沛东,刘平,苏娟华,康布熙,田保红,吴朋越

Transactions of Materids and Heat Treatment（2003）

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Abstract
通过应用人工神经网络技术,用获得的时效实验数据进行训练,建立Cu-0.30 Cr-0.15Zr合金硬度和导电性与时效时间和时效温度的映射模型,从而可预测铜合金在一定时效条件下的硬度和导电性.该神经网络算法采用BP算法,网络结构采用2-3-30-2形式.结果表明,神经网络用于铜合金的时效性能预测是可行的.
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Key words
copper alloys,artificial neural network,neural network
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