2015 Fiscal Year Final Research Report
Analysis of Modular Network Evolution and Application to Smart-grid Design
| Project/Area Number |
25870260
|
|---|
| Research Category |
Grant-in-Aid for Young Scientists (B)
|
| Allocation Type | Multi-year Fund |
|---|
| Research Field |
Intelligent mechanics/Mechanical systems
Web informatics, Service informatics
|
|---|
| Research Institution | Meijo University (2015)
University of Toyama (2013-2014) |
|---|
Principal Investigator |
|
|---|
| Project Period (FY) |
2013-04-01 – 2016-03-31
|
| Keywords | 制御理論 / ネットワーク / モジュラリティ |
|---|
| 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.
|
| Free Research Field |
制御理論
|
