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Using a new type of nonlinear integral for multi-regression: An application of evolutionary algorithms in data mining
Author(s)
Date Issued
1998
Publisher
IEEE
ISSN
08843627
Citation
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998, Vol. 3, pp. 2326 - 2331
Type
Conference Proceedings
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.
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