| Presentation | 1998/5/22 A Construction of Feedforward Neural Networks for Large Scale Parallel Processing Hitoshi Fujiwara, Itsuo Takanami, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In order that communication overhead and fan-in/out of neurons do not increase as the scale of multi-layered neural networks (MNN) becomes larger, the locally connected MNN in which each neuron has only three connected neighbors in terms of fan-in or fan-out has already been proposed where neurons in each layer are laid in one dimension and the number of layers becomes O(N)for the number of inputs N. In this paper, first, we show that the recognition ability of MNN remarkably decreases as the number of layers increases beyond a certain one. Hence, we propose an MNN in which each neuron has five connected neighbors in terms of fan-in or fan-out and neurons in each layer are laid in two dimension. Then we show that the number of layers becomes O(√ |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | multi-layered neural network / locally connected / large-scale system / parallel processing |
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| Conference Information | |
| Committee | ICD |
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| Conference Date | 1998/5/22(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Registration To | Integrated Circuits and Devices (ICD) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Construction of Feedforward Neural Networks for Large Scale Parallel Processing |
| Sub Title (in English) | |
| Keyword(1) | multi-layered neural network |
| Keyword(2) | locally connected |
| Keyword(3) | large-scale system |
| Keyword(4) | parallel processing |
| 1st Author's Name | Hitoshi Fujiwara |
| 1st Author's Affiliation | Matsushita Communication Sendai R & D Labs.Co., Ltd.() |
| 2nd Author's Name | Itsuo Takanami |
| 2nd Author's Affiliation | Department of Computer and Information Science, Iwate University |
| Date | 1998/5/22 |
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| Volume (vol) | vol.98 |
| Number (no) | 66 |
| Page | pp.pp.- |
| #Pages | 8 |
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