Analysis of Modular Network Evolution and Application to Smart-grid Design
| Project/Area Number |
25870260
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Intelligent mechanics/Mechanical systems
Web informatics, Service informatics
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| Research Institution | Meijo University (2015)
University of Toyama (2013-2014) |
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Principal Investigator |
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| Project Period (FY) |
2013-04-01 – 2016-03-31
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| Project Status |
Completed (Fiscal Year 2015)
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| Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2015: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2014: ¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
Fiscal Year 2013: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
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| Keywords | 制御理論 / ネットワーク / モジュラリティ / ロバストネス / 制御工学 |
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| Outline of Final Research Achievements |
Biological networks often represent modular networks, which is defined as the degree of decomposing a network into several subnetworks. We investigate an alternative evolutionary constraint entailing increased robustness to noise.
To examine this, we study noise-interfused network models involving an analytically solvable linear system and biologically inspired nonlinear systems. (1) It was shown that the evolutionary constraint enforces to find well-balanced noise-sensitivities of multiple noise sources, and leads to a modular network underlying a modular structure in goals. (2) The simple model was proposed for the modular network evolution based on non-linearity denosing in a node-activity. The model suggest that the modular networks can evolve under conditions; if the given goals to networks, input and target output pairs, involve modular feature; and if the signal transfer in a node is carried out with non-linear manners in the sense of a saturation at upper and lower bounds.
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Report
(4 results)
Research Products
(6 results)
