Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.11861/7676
Title: | Using a new type of nonlinear integral for multi-regression: An application of evolutionary algorithms in data mining |
Authors: | Xu Kebin Wang Zhenyuan Prof. LEUNG Kwong Sak |
Issue Date: | 1998 |
Publisher: | IEEE |
Source: | Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998, Vol. 3, pp. 2326 - 2331 |
Journal: | Proceedings of the IEEE International Conference on Systems, Man and Cybernetics |
Abstract: | A new nonlinear multiregression model, Y = c+q·(w)∂f dμ+N(0,σ2), based on the Wang integral is developed to describe the multi-input single-output system. The model includes a non-additive set function μ, to describe the inherent interaction among the input attributes x1, x2, ..., xn. When the proper input-output data are available, by using the adaptive genetic algorithm, a precise estimated values of parameter c, q, ω, and μ of the regression model can be obtained. The output, Y, could be calculated by nonlinear multiregression using the values of known input attributes, x1, x2, ..., xn. |
Type: | Conference Proceedings |
URI: | http://hdl.handle.net/20.500.11861/7676 |
ISSN: | 08843627 |
Appears in Collections: | Applied Data Science - Publication |
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