Parameter sensitivity analysis based on artificial neural network
基于人工神经网络的参数灵敏度分析模型

studied new method of function simulation and analysis based on the combination of artificial neural network and parameter sensitivity analysis. Neural networks algorithm Could solve the function simulation problem of complex, nonlinear system effectively. The differentiability of the transfer function provided a guarantee to solution of sensitivity matrix, and made the searching for the impact between the input and output attributes. Meanwhile, the model had a good scalability, could be better to consider a comprehensive system factor. The conclusion shows that the method can find out correlation degree of attributes quickly and obtain a result ideally at the aspect of engineering analysis system.