| Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2018: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Fiscal Year 2017: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2016: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
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| Outline of Final Research Achievements |
Reservoir computing is one of the machine learning frameworks capable of high-speed learning. In this study, we performed mathematical analysis and optimal design of reservoirs. Then, we proposed new models of reservoir computing and achieved enhancement of computational ability as well as further learning cost reduction. We also explored potential physical reservoirs and made their mathematical models, and clarified their fundamental properties and computational ability in basic tasks.
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