The Power System Analysis Based on Neural Network

With the rapid and bursting development of pattern recognition technique and power system theory, the combination of the two is urgently needed. We argue that a filter bank that is designed from perceptual evidence is not always guaranteed to be the best filter bank in a statistical modeling framework where the end goal is word error rate. Therefore, to combine the proposed techniques with the neural network, we conduct theoretical analysis and numerical simulation on the power systems. The experimental analysis and numerical simulation indicate that our proposed approach performs well and contains satisfactory robustness.