| Presentation | 2004/1/19 Sphincs : Hierarchical Artificial Neural Network Simulator (Neurocomputing) Masahiro MAEDA, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Simulation is critical important method for computational neuroscience research and engineering. We developed a novel architectural simulator "Sphincs" (Simulator with Parallel and Hierarchical mechanisms for Investigation of Neural Computation System) which aims to both neuroscience exploration and industrial application with introducing neuroscience study results and examination, based on ANN (Artificial Neural Network) methodology. Sphincs has several new features : 1) mechanical network generation, 2) multi-layer network operation, 3) new neuron types refered biological feature (ex. Basket, Pyramidal, etc.) and 4) cross function like Genetic Algorithm at design phase before mechanical network generation, to reduce cost of neural network construction. Futhermore, Sphincs has several convenient merits like expansion easiness, platform independency and so on cause we developed it with Java [TM]. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Multi hierarchical / Multi layered / Self-organization / Neural Network / Simulator / Genetic Argolithm / Java |
| Paper # | NC2003-112 |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 2004/1/19(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) | Sphincs : Hierarchical Artificial Neural Network Simulator (Neurocomputing) |
| Sub Title (in English) | |
| Keyword(1) | Multi hierarchical |
| Keyword(2) | Multi layered |
| Keyword(3) | Self-organization |
| Keyword(4) | Neural Network |
| Keyword(5) | Simulator |
| Keyword(6) | Genetic Argolithm |
| Keyword(7) | Java |
| 1st Author's Name | Masahiro MAEDA |
| 1st Author's Affiliation | Advanced Research Lab., Corporate Reserch Lab., Corporate Reserch Group, Fuji Xerox Co.. Ltd.() |
| Date | 2004/1/19 |
| Paper # | NC2003-112 |
| Volume (vol) | vol.103 |
| Number (no) | 601 |
| Page | pp.pp.- |
| #Pages | 5 |
| Date of Issue | |