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| 标题 |
| 基于改进的BP神经网络的产品生产成本估算(18 卷) |
| 英文标题 |
| Production cost prediction of product based on improved BP artificial neural network |
| 摘要 |
| 基于BP神经网络的成本估算模型,利用全局搜索能力较强的遗传算法优化BP神经网络连接权,克服传统的BP算法易陷入最小值的缺点,使模型预测性能、预测精度和泛化能力得到有效改进。以列车转向架为例,建立产品生产成本GA-BP估算模型,通过8组检测样本检验训练好的遗传人工神经 |
| 作者 |
| 新闻作者:周 辉,杨 岳,谢素超,程立志,宋加佳 |
| 关键字 |