• The model of Multiple Neural Networks by Fuzzy(MNNF) integral presented in this paper is an effective method to improve the detection performance of network intrusion detection system.

    为了进一步提高网络入侵检测系统的检测性能,将模糊积分理论和神经网络技术应用到网络入侵检测中,提出了基于模糊积分的多神经网络融合模型MNNF。

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  • The general procedure of evaluating was summed up by the use of the model of fuzzy integral.

    归纳出用模糊积分模型进行方案评价的一般步骤。

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  • The experiments show that the classification accuracy of the model based on fuzzy number-valued fuzzy integral is higher than the accuracy of the weighted average model.

    实验表明,基于模糊数值模糊积分方法的分类精度要高于基于加权平均方法的分类精度。

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  • In accordance with the time-varying features of the mathematical model of resistance furnace, the design strategy of fuzzy controller with integral output is proposed.

    针对电阻炉数学模型时变的特点,提出了一种带积分输出的模糊控制器设计方案。

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  • Based on designing analytical fuzzy controller, fuzzy-neuron model-free control algorithm is studied by using single neuron and the thought of intelligent integral.

    设计了解析模糊控制器,并在此基础上引入了单神经元;根据智能积分的思想,研究了模糊神经元非模型控制算法。

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  • The paper uses fuzzy numbers to represent the weights in the fuzzy reasoning and presents the reasoning model based on fuzzy number-valued fuzzy integral.

    本文使用模糊数来表示模糊推理中的权重参数,提出了基于模糊数值模糊积分的模糊推理模型。

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  • The paper uses fuzzy numbers to represent the weights in the fuzzy reasoning and presents the reasoning model based on fuzzy number-valued fuzzy integral.

    本文使用模糊数来表示模糊推理中的权重参数,提出了基于模糊数值模糊积分的模糊推理模型。

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