Abstract
The extension of the Kolmogorov's theorem (1957) about the representation of continuous real extended functions with more than one variables as superpositions of extended functions of one variable is presented. The graphical analysis of its behavior with a function of two variables is showed. The representation of the theorem using a practical neural network is obtained.
Original language | English |
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Pages (from-to) | 99-109 |
Number of pages | 11 |
Journal | Journal of Advanced Computational Intelligence and Intelligent Informatics |
Volume | 5 |
Issue number | 2 |
DOIs | |
Publication status | Published - Mar 2001 |
Externally published | Yes |
Keywords
- Function approximation
- fuzzification
- kolmogorov theorem
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López-Gómez, A., & Hirota, K. (2001). Fuzzification of Kolmogorov Theorem. Journal of Advanced Computational Intelligence and Intelligent Informatics, 5(2), 99-109. https://doi.org/10.20965/jaciii.2001.p0099