2015
DOI: 10.2991/emcs-15.2015.63 View full text |Buy / Rent full text
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Abstract: The purpose: Solve the existing problems of fuzzy neural network are processing speed and low accuracy. Methods: This paper presents a data mining based on compensation fuzzy neural networks. Through research and analysis of the traditional compensation neural network, we are optimized it according to the characteristics of data mining. And optimize the calculation and training of the data mining. The result: In the first group can be seen that using this algorithm can be get a higher convergence. In the case … Show more

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“…This knowledge is then used to predict the outcome for new combinations of data [2]. In particular, the control technique based on fuzzy modeling or fuzzy identification was first systematically introduced by Takagi and Sugeno [1], has found numerous applications in fuzzy control, for medical diagnosis [3], decision-making and solve problems based on data mining [4]. However, there are some basic aspects of this approach which are in need of better understanding.…”
Section: Introductionmentioning
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“…This knowledge is then used to predict the outcome for new combinations of data [2]. In particular, the control technique based on fuzzy modeling or fuzzy identification was first systematically introduced by Takagi and Sugeno [1], has found numerous applications in fuzzy control, for medical diagnosis [3], decision-making and solve problems based on data mining [4]. However, there are some basic aspects of this approach which are in need of better understanding.…”
Section: Introductionmentioning