| Project/Area Number |
23656252
|
|---|
| Research Category |
Grant-in-Aid for Challenging Exploratory Research
|
| Allocation Type | Multi-year Fund |
|---|
| Research Field |
Communication/Network engineering
|
|---|
| Research Institution | Nagaoka University of Technology |
|---|
Principal Investigator |
|
|---|
| Project Period (FY) |
2011 – 2013
|
| Project Status |
Completed (Fiscal Year 2013)
|
| Budget Amount *help |
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2013: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2012: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2011: ¥2,600,000 (Direct Cost: ¥2,000,000、Indirect Cost: ¥600,000)
|
|---|
| Keywords | 最適化 / 群知能 / 非線形力学系 / スパイキングニューロン / 粒子群 / スパイク / ニューロン |
|---|
| 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.
|
