同其他模拟技术相比，在精度相同的情况下，神经网络响应面法可以大大减少模拟时间。
Compared with other simulation technique, neural network response surface method can greatly reduce the simulation time at the same precision level.
探讨了人工神经网络技术在检测变压器绕组变形的频率响应法中的应用。
The application of the artificial neural network technique to the Frequency Response Analysis method (FRA) which is used to detect transformer winding deformation is presented.
通过线性回归和相似因子法比较人工神经网络和基于二元二项式的响应面法的预测能力。
The regression equations and similar factors were used to compare the predicability of the ANN and response surface method based on the binomial equations.
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