| Presentation | 2022-11-24 Genetic programming supported by physics-inspired methods Soichiro Kanaya, Toma Takano, Satoshi Sunada, Tomoaki Niiyama, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We study a symbolic regression technique to infer the equations of systems from the observed numerical data. Our method is based on the AI-Feynman, proposed by Udrescu et al., which uses neural networks to detect features of the data, and genetic programming, which is an efficient formula search method that mimics biological evolution. In this study, we show that our method can successfully infer simple equations from measurement data with the aid of the AI-Feynman. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | AI-Feynman / Symbolic regression / Genetic programming / Neural network |
| Paper # | NLP2022-66 |
| Date of Issue | 2022-11-17 (NLP) |
| Conference Information | |
| Committee | NLP |
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| Conference Date | 2022/11/24(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Akio Tsuneda(Kumamoto Univ.) |
| Vice Chair | Hiroyuki Torikai(Hosei Univ.) |
| Secretary | Hiroyuki Torikai(Sojo Univ.) |
| Assistant | Yuichi Yokoi(Nagasaki Univ.) / Yoshikazu Yamanaka(Utsunomiya Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Nonlinear Problems |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Genetic programming supported by physics-inspired methods |
| Sub Title (in English) | |
| Keyword(1) | AI-Feynman |
| Keyword(2) | Symbolic regression |
| Keyword(3) | Genetic programming |
| Keyword(4) | Neural network |
| 1st Author's Name | Soichiro Kanaya |
| 1st Author's Affiliation | Kanazawa University(Kanazawa Univ.) |
| 2nd Author's Name | Toma Takano |
| 2nd Author's Affiliation | Kanazawa University(Kanazawa Univ.) |
| 3rd Author's Name | Satoshi Sunada |
| 3rd Author's Affiliation | Kanazawa University(Kanazawa Univ.) |
| 4th Author's Name | Tomoaki Niiyama |
| 4th Author's Affiliation | Kanazawa University(Kanazawa Univ.) |
| Date | 2022-11-24 |
| Paper # | NLP2022-66 |
| Volume (vol) | vol.122 |
| Number (no) | NLP-280 |
| Page | pp.pp.42-42(NLP), |
| #Pages | 1 |
| Date of Issue | 2022-11-17 (NLP) |