Development of the large-scale Full Connected Artificial Neural Network
| Project/Area Number |
26330292
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Soft computing
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| Research Institution | Sendai National College of Technology |
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Principal Investigator |
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| Project Period (FY) |
2014-04-01 – 2017-03-31
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| Project Status |
Completed (Fiscal Year 2016)
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| Budget Amount *help |
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2016: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2015: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2014: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
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| Keywords | 全結合型 / 人工神経回路網 / IDL / DS-NET / GPGPU / 大規模 / 高速計算 |
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| Outline of Final Research Achievements |
This study is that examination inspects various studies necessary for the realization of large-scale full connected artificial neural network by approach to the combinatorial optimization problem using the artificial neural network as for "the technology development of huge full connected artificial neural network".
Hence, we investigated the performance of the network using the inverse function delay-less model.
In case of a dynamic-static network, we performed the various investigations in consideration of the constitution in the modular neural network in the Dynamic network, and we discussed about the hierarchical network in the static network.
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Report
(4 results)
Research Products
(24 results)
