2012 Fiscal Year Final Research Report
Chaotic dynamics matching for learning to identify biological signals by higher order artificial neural circuit
| Project/Area Number |
22686038
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| Research Category |
Grant-in-Aid for Young Scientists (A)
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| Allocation Type | Single-year Grants |
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| Research Field |
Communication/Network engineering
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| Research Institution | Nagaoka University of Technology |
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Principal Investigator |
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| Project Period (FY) |
2010 – 2012
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| Keywords | ニューロン / 同定学習 / カオス |
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| Research Abstract |
Chaotic dynamics matching which can be applied for a dynamics of the control systems with high-speed and flexibly according to the condition and the task based on the chaos theory is proposed. It achieves the control and learning system based on biological signals. The following results were achieved. Stable method of chaotic dynamics matching which is effective to continuous-time signal as biological signals was shown. Systematic design procedure of learning to identify signals based on higher order spike neuron was shown and the effectiveness was clarified.
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