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Titlebook: Data Mining and Computational Intelligence; Abraham Kandel,Mark Last,Horst Bunke Book 2001 Physica-Verlag Heidelberg 2001 computational in

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41#
發(fā)表于 2025-3-28 16:45:08 | 只看該作者
42#
發(fā)表于 2025-3-28 19:16:03 | 只看該作者
43#
發(fā)表于 2025-3-29 01:38:53 | 只看該作者
The Fuzzy-ROSA Method: A Statistically Motivated Fuzzy Approach for Data-Based Generation of Small , rule search based on rule test and rating, on- and offline rule reduction and finally rule base analysis and optimization. With respect to the broad spectrum of applications, there are different methods available for each of these steps. An overview is given in the first part of this paper, with e
44#
發(fā)表于 2025-3-29 06:28:50 | 只看該作者
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發(fā)表于 2025-3-29 09:45:21 | 只看該作者
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發(fā)表于 2025-3-29 14:29:58 | 只看該作者
Fuzzy Genetic Modeling and Forecasting for Nonlinear Time Series,re, and the membership functions of the best-fitting models are the performance index of a chromosome. An empirical example shows that the genetic model can effectively find an intuitive model for nonlinear time series, especially when structure changes occur.
47#
發(fā)表于 2025-3-29 17:38:15 | 只看該作者
48#
發(fā)表于 2025-3-29 23:19:08 | 只看該作者
49#
發(fā)表于 2025-3-30 01:47:18 | 只看該作者
50#
發(fā)表于 2025-3-30 06:15:12 | 只看該作者
Pierre Russo MD,Pierre Russo MDmated. The self-generating ability of the GSOM is used to identify the paths along which the GSOM grew, and these paths are used to develop a skeleton of the data set. Such a skeleton is then used as a base for separating the clusters in the data
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