Presentation | 1996/10/28 Layerd Neural network with Feedback constructed by AutoRegressive Neuron(ARN) M. NAKAJOH, T. FURUYA, H. KASAHARA, T. HIGUCHI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We propose an AutoRegressive Neuron (ARN) which has an autoregressive (AR) model between the neuron's input and the sigmoid function and can use BackPropergation (BP) learning. By using ARNs, we construct layered neural nets (LN), Jordan's nets (JN) and Elman's nets (EN), and then make them learn verious temporal data sequences. The simulation results have shown that the proposed ARN can improve the temporal data processing ability of JN and EN greatly. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Layerd neural network / Autoregressive model / Jordan's net / Elman's nets / Temporal process |
Paper # | NC96-44 |
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Committee | NC |
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Conference Date | 1996/10/28(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) | Layerd Neural network with Feedback constructed by AutoRegressive Neuron(ARN) |
Sub Title (in English) | |
Keyword(1) | Layerd neural network |
Keyword(2) | Autoregressive model |
Keyword(3) | Jordan's net |
Keyword(4) | Elman's nets |
Keyword(5) | Temporal process |
1st Author's Name | M. NAKAJOH |
1st Author's Affiliation | Toho University() |
2nd Author's Name | T. FURUYA |
2nd Author's Affiliation | Toho University |
3rd Author's Name | H. KASAHARA |
3rd Author's Affiliation | Toho University |
4th Author's Name | T. HIGUCHI |
4th Author's Affiliation | Electrotechnical Laboratory |
Date | 1996/10/28 |
Paper # | NC96-44 |
Volume (vol) | vol.96 |
Number (no) | 331 |
Page | pp.pp.- |
#Pages | 8 |
Date of Issue |