Nonlinear Dynamics Analysis of Complex-Valued Neural Networks and its Engineering Applications
| Project/Area Number |
19700214
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
Sensitivity informatics/Soft computing
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| Research Institution | The University of Tokyo |
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Principal Investigator |
TANAKA Gouhei The University of Tokyo, 生産技術研究所, 助教 (90444075)
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| Project Period (FY) |
2007 – 2009
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| Project Status |
Completed (Fiscal Year 2009)
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| Budget Amount *help |
¥3,730,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥630,000)
Fiscal Year 2009: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2008: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2007: ¥1,000,000 (Direct Cost: ¥1,000,000)
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| Keywords | ニューラルネットワーク / 非線形ダイナミクス / 画像処理 / 複素関数 / 感性情報処理 / 非線形科学 / 人工知能 / 複素ニューラルネットワーク |
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| Research Abstract |
Complex-valued neural networks have been studied from nonlinear dynamics viewpoint to develop the theory and the algorithm for addressing complex-valued information such as wave phenomena and gray-level images. I have proposed a new activation function with continuous nonlinearity for a complex-valued neuron and applied it to gray-level image restoration and graph coloring problem. Numerical results have shown that the performance of complex-valued neural network can be improved by the proposed continuous activation function compared with the conventional discrete activation function.
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Report
(4 results)
Research Products
(21 results)
