对象输入参数优化的人工神经网络方法

Optimization of Object Input Variables Based on Artificial Neural Network

  • 摘要: 研究对象输入参数的优化方法。建立对象的人工神经网络模型,根据模型输出对输入的梯度,采用有约束梯度优化方法,研究在限定范围内对象输入参数的寻优。通过对文献中实验数据的处理,得到了与文献中相近的优化结果。该方法为寻找最优生产条件或最优输入参数的生产过程或系统提供了一条有效的途径。

     

    Abstract: To study the optimal method of object's input variables, based on the ANN model of the studied object, the gradient of the output to input variables was calculated. Using constrained gradient optimal method, the optimal value of input variables was searched. The results of optimization of input variables were close to the ones in the references. The method is feasible for finding optimal production conditions or optimal input variables of procedure or objects.

     

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