2013 Fiscal Year Final Research Report
Realization of swarm intelligence by spiking neurons, and its new development
| Project/Area Number |
23656252
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| Research Category |
Grant-in-Aid for Challenging Exploratory Research
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| Allocation Type | Multi-year Fund |
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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) |
2011 – 2013
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| Keywords | 最適化 / 群知能 / 非線形力学系 / スパイキングニューロン |
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| Research Abstract |
In this study, we developed nonlinear procedure to optimize various problems by swarm intelligence, and the hardware realization by spiking neurons and the application for the engineering are considered. Therefore we realized the swarm intelligence optimization technique with a particle influenced by deterministic dynamics system with spiking neurons. The system is based on a neuronal model of the discrete time and asynchronous system, and by applying the searching mechanism that used chaos dynamics, we succeeded in realization of high-performance optimization technique in the system. Furthermore, we realized deterministic particle swarm optimization procedure of the integer type to facilitate implementation in FPGA and showed what it operates fast.
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