基于神经网络的中厚板凸度预报
Nonferrous Metals（2007）
Abstract
应用改进BP神经网络建立中厚板凸度预报的三层神经网络预报模型,用自适应学习速率法和附加动量法两种改进BP算法结合起来训练神经网络模型。试验仿真结果表明,该模型对测试数据预报结果均在3%之内,精度高,训练速度较快,具有很好的实用性。
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Key words
metal material,neural network,improved BP method,crown prediction of media and heavy plate
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