| Budget Amount *help |
¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
Fiscal Year 2017: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2016: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2015: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2014: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
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| Outline of Final Research Achievements |
The solution and regularization method of inverse problems by the neural network extended to high-dimensional numbers were studied. In addition, the applications of high-dimensional neural network to actual engineering problems were examined. The effectiveness of high-dimensional neural network was shown by the examination of solution and regularization method of inverse problems by computer simulation. Furthermore, the applicability of high-dimensional neural network was clarified by applied research such as the forearm pose estimation using surface electromyography and the motion sensor, and the motion planning of mobile robot, and so on.
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