| Presentation | 2002/7/19 Structures of Neural Networks for Static Inverse Optimization and Characteristics of Data Interpretation Hong ZHANG, Masumi ISHIKAWA, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper we propose structures of neural networks corresponding to various forms of criterion functions and constraints for solving static inverse optimization problems. In interpreting real data, we compare two kinds of constraints, i.e linear constraints and quadratic ones. In computer simulation we either generate linear constraints or a quadratic constraint from artificial data, and examine marginal rates of substitution at Perato optimal data under either linear constraints or a quadratic constraint. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | structure of neural network / learning / static optimization / constraints |
| Paper # | NC2002-38 |
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| Committee | NC |
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| Conference Date | 2002/7/19(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| 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) | Structures of Neural Networks for Static Inverse Optimization and Characteristics of Data Interpretation |
| Sub Title (in English) | |
| Keyword(1) | structure of neural network |
| Keyword(2) | learning |
| Keyword(3) | static optimization |
| Keyword(4) | constraints |
| 1st Author's Name | Hong ZHANG |
| 1st Author's Affiliation | Graduate School of Life Science & Systems Engineering Kyushu Institute of Technology() |
| 2nd Author's Name | Masumi ISHIKAWA |
| 2nd Author's Affiliation | Graduate School of Life Science & Systems Engineering Kyushu Institute of Technology |
| Date | 2002/7/19 |
| Paper # | NC2002-38 |
| Volume (vol) | vol.102 |
| Number (no) | 253 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |