| Presentation | 2005/6/17 Identification of time series signal using DNN with GA-based training method Daisaku YONEDA, Kunihiko NAKAZONO, Hiroshi KINJO, Tetsuhiko YAMAMOTO, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Recently, recurrent neural network (RNN) has attracted more research interest than layered neural network having static mapping capability. However, the structure in RNN is complex compared to that in layered neural network with a training algorithm. In this paper, we propose a dynamical neural network (DNN) that have the properties of inertia, viscosity, and stiffness and its GA-based training method. In a previous research, we propose the DNN which has the dynamical neurons with hidden layer and output layer (DNN1). Also, we propose the simplified DNN which has the dynamical neuron only with hidden layer (DNN2). The GA-based training method is designed to train not only the connecting weights but also the property parameters of the DNN. Simulation results show that the DNN obtains good training performance compared with RNN for time series signals of periodic function. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Dynamical neural network / Recurrent neural network / GA-based training method / Time series signal |
| Paper # | NC2005-26 |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 2005/6/17(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) | Identification of time series signal using DNN with GA-based training method |
| Sub Title (in English) | |
| Keyword(1) | Dynamical neural network |
| Keyword(2) | Recurrent neural network |
| Keyword(3) | GA-based training method |
| Keyword(4) | Time series signal |
| 1st Author's Name | Daisaku YONEDA |
| 1st Author's Affiliation | Graduate school of Engineering and Science, University of the Ryukyus() |
| 2nd Author's Name | Kunihiko NAKAZONO |
| 2nd Author's Affiliation | Faculty of Engineering, University of the Ryukyus |
| 3rd Author's Name | Hiroshi KINJO |
| 3rd Author's Affiliation | Faculty of Engineering, University of the Ryukyus |
| 4th Author's Name | Tetsuhiko YAMAMOTO |
| 4th Author's Affiliation | Faculty of Engineering, University of the Ryukyus |
| Date | 2005/6/17 |
| Paper # | NC2005-26 |
| Volume (vol) | vol.105 |
| Number (no) | 131 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |