| Presentation | 2005/4/8 An Approach to Artificial Neural Networks as Multistage Threshold Networks : The Properties and an Exact Design Methodology Kiyoshi Furuya, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Properties of ANN's as multistage threshold networks are considered. Then an exact design methodology of ANN's is presented using pattern recognition problem of 20 patters (alphabets A-T) as an example. A method to attain certain level of fault-tolerance is also described. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | ANN(Artificial Neural Network) / threshold networks / pattern recognition problem |
| Paper # | CPSY2005-6,DC2005-6 |
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| Conference Information | |
| Committee | DC |
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| Conference Date | 2005/4/8(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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| Vice Chair | |
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| Paper Information | |
| Registration To | Dependable Computing (DC) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | An Approach to Artificial Neural Networks as Multistage Threshold Networks : The Properties and an Exact Design Methodology |
| Sub Title (in English) | |
| Keyword(1) | ANN(Artificial Neural Network) |
| Keyword(2) | threshold networks |
| Keyword(3) | pattern recognition problem |
| 1st Author's Name | Kiyoshi Furuya |
| 1st Author's Affiliation | Faculty of Science and Engineering, CHuo University() |
| Date | 2005/4/8 |
| Paper # | CPSY2005-6,DC2005-6 |
| Volume (vol) | vol.105 |
| Number (no) | 4 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |