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Remembrance of neural network and neural network or study manner, and uses neural network the fuzzy inference device

机译:记住神经网络和神经网络或学习方式,并使用神经网络的模糊推理装置

摘要

PURPOSE:To obtain the fuzzy inference device which is applicable to the prediction, diagnosis, control, etc., of a process and further stable and highly accurate by providing a fuzzy qualitative evaluating means which evaluates input information qualitatively and supplying =1 qualitative evaluated value to an input layer for each piece of input information. CONSTITUTION:A 1st fuzzy qualitative evaluating means 2 after evaluating the input information qualitatively with a membership function determined by experimental knowledge and normalizing a dynamic range inputs the result to the input layer of the neural network 3. A 2nd fuzzy qualitative evaluating means 4 performs a quantizing process by using the output value of the neural network 3 as the qualitative evaluated value of the experimentally determined membership function. Consequently, even input information having large nonlinearity or much indeterminateness can accurately be evaluated. Further, the information can be normalized to a specific range, so even input information having different property makes learning and remembering stable and highly accurate.
机译:目的:通过提供一种模糊定性评估手段,对输入信息进行定性评估,并提供> = 1的定性评估结果,从而获得一种适用于过程的预测,诊断,控制等,并且更加稳定和高精度的模糊推理装置。每个输入信息的输入层的值。组成:第一模糊定性评估装置2在使用由实验知识确定的隶属函数定性评估输入信息并归一化动态范围后,将结果输入到神经网络3的输入层。第二模糊定性评估装置4执行通过使用神经网络3的输出值作为实验确定的隶属函数的定性评估值进行量化处理。因此,甚至可以准确地评估具有大非线性或不确定性的输入信息。此外,可以将信息归一化到特定范围,因此即使具有不同属性的输入信息也使学习和记忆变得稳定且高度准确。

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