| Presentation | 2005/11/12 Skid Predict System for Car using Volterra Neuron Network Seiichiro YAMADA, Takanobu MAEDA, Hirokazu YOKOI, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Skid of the car is one of the main causes of the major accident. The movement of the car is influenced from alterations such as the driver operation, the speed, accelerations, and yaw. Predicting a skid using predicted input and dynamic state is effective to control a skid. And so the purpose of this research is to propose a skid control system using a predicted skid by neuron network. Because movement of a car is complicated, a skid was predicted by using a Volterra neuron network. The skid almost corresponded to the target value, and the effectiveness of this system was confirmed. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Skid / Predicte / Volrerra neuron network |
| Paper # | NC2005-79 |
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| Committee | NC |
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| Conference Date | 2005/11/12(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) | Skid Predict System for Car using Volterra Neuron Network |
| Sub Title (in English) | |
| Keyword(1) | Skid |
| Keyword(2) | Predicte |
| Keyword(3) | Volrerra neuron network |
| 1st Author's Name | Seiichiro YAMADA |
| 1st Author's Affiliation | Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology() |
| 2nd Author's Name | Takanobu MAEDA |
| 2nd Author's Affiliation | Sasebo National College of Technology |
| 3rd Author's Name | Hirokazu YOKOI |
| 3rd Author's Affiliation | Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology |
| Date | 2005/11/12 |
| Paper # | NC2005-79 |
| Volume (vol) | vol.105 |
| Number (no) | 419 |
| Page | pp.pp.- |
| #Pages | 4 |
| Date of Issue | |