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A Novel Synthetic Effectiveness Evaluation Method with Fuzzy Neural Network for the Electrical Systems

机译:一种新型电气系统模糊神经网络的新型合成效能评价方法

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Effectiveness evaluation method could give the quantitative description for an electrical system to help engineers choose the better products to use. Whereas, problems of poor objectivity, low generality, low accuracy, etc. always existing in evaluation methods of the electrical systems attract interests of many researchers. This paper puts forward a novel synthetic effectiveness evaluation method with fuzzy neural network. The fuzzy comprehensive evaluation method is utilized to obtain the weight vector of the evaluation factors. Meanwhile, in order to improve the accuracy of evaluation, the time series data of the factors is chosen instead of the transient data. Complying with the high subjectivity of many methods, the scoring method for single factor based on neural network (S-NN) is presented. The results of experiments demonstrate that the proposed method has better properties in efficiency than the competing methods.
机译:有效性评估方法可以给出电气系统的定量描述,以帮助工程师选择更好的产品。虽然,客观性差,较差,低精度等的问题始终存在于电气系统的评估方法中,吸引了许多研究人员的兴趣。本文提出了一种具有模糊神经网络的新型合成效能评估方法。利用模糊综合评价方法来获得评估因子的重量载体。同时,为了提高评估的准确性,选择了因素的时间序列数据而不是瞬态数据。符合许多方法的高主观性,提出了基于神经网络(S-Nn)的单因素的评分方法。实验结果表明,所提出的方法具有比竞争方法更好的效率。

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