模糊神经网络系统在微波效应数据处理中的应用
Applications of neuro-fuzzy system to data processing of microwave effects
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摘要: 描述了建立神经网络驱动的模糊系统的基本过程，结合部分微波效应数据建立了一个小型的效应预测评估模型。对应于学习样本，给出了网络输出值与样本输出真实值的比对情况，并对部分非学习样本输出值进行了预测，由对比情况可知，网络系统基本能够再现原始数据的真实面貌，并能对未知事件有一定的预测能力，作为一种效应数据处理方法，模糊神经网络系统具有一定的潜在应用价值。Abstract: This paper describes a neuro-fuzzy system to process the data of microwave effects on the comp uters. Base on the neuro-fuzzy system, the evaluation model of microwave effect s is developed. Compared with the original experiment sample, the neuro-fuzzy system gave very close results. Meanwhile, the evaluation model developed in this paper can predict the interference threshold for similar effect events if sufficient data have been analyzed. The neuro-fuzzy system has potential app lication to data processing of microwave effects.
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Key words:
- neuro-fuzzy system /
- high power microwave effect
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