Presentation | 1996/3/18 Identification and Prediction of Economic Indicators by Answer-in-Weights Network Takehiko Ogawa, Yukio Kosugi, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this report, we show a network model that covers the two parts of the economic indicators; long-term and periodic components, and that can identify the two parts, simultaneously. This network uses a parametric structure utilizing a priori given information regarding the problem, to improve the generalization ability which cannot be assured by conventional multilayer networks in prediction problems. The model consists of two parts of network arranged in the answer-in-weights structure that requires a solution to appear in the weights and express the fluctuation of economic indicators, by multiplying each output. The simulations on two economic data were done to confirm the model validity. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | economic indicators / generalization ability / multiple network / a priori information |
Paper # | NC-95-119 |
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Committee | NC |
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Conference Date | 1996/3/18(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
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) | Identification and Prediction of Economic Indicators by Answer-in-Weights Network |
Sub Title (in English) | |
Keyword(1) | economic indicators |
Keyword(2) | generalization ability |
Keyword(3) | multiple network |
Keyword(4) | a priori information |
1st Author's Name | Takehiko Ogawa |
1st Author's Affiliation | Interdisciplinary Graduate School of Science and Engineering Tokyo Institute of Technology() |
2nd Author's Name | Yukio Kosugi |
2nd Author's Affiliation | Interdisciplinary Graduate School of Science and Engineering Tokyo Institute of Technology |
Date | 1996/3/18 |
Paper # | NC-95-119 |
Volume (vol) | vol.95 |
Number (no) | 598 |
Page | pp.pp.- |
#Pages | 7 |
Date of Issue |