Presentation | 1998/3/19 Average Function Approximation Bounds for Adaptive Systems based on Functional Measures Sumio WATANABE, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We analyze average function approximation bounds for an adaptive approximation system based on the functional measure. The followings are proved. (1) If coefficients of the target function consist of real values and are independent from each other, then the adaptive approximation system is not effective. (2) If coefficients of the target function consist of real values and are subject to a competitive probability distribution, then the adaptive approximation system is more effective than the fixed approximation system. (3) If coefficients of the target function consist of quantized values, then the adaptive approximation system is more effective than the fixed approximation system. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Fucnitonal Measure / Function Approximation System / Approximation Bounds |
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Committee | NC |
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Conference Date | 1998/3/19(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Average Function Approximation Bounds for Adaptive Systems based on Functional Measures |
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Keyword(1) | Fucnitonal Measure |
Keyword(2) | Function Approximation System |
Keyword(3) | Approximation Bounds |
1st Author's Name | Sumio WATANABE |
1st Author's Affiliation | Advanced Information Processing Division Precision and Intelligence Laboratory Tokyo Institute of Technology() |
Date | 1998/3/19 |
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Volume (vol) | vol.97 |
Number (no) | 623 |
Page | pp.pp.- |
#Pages | 8 |
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