| Project/Area Number |
20700207
|
|---|
| Research Category |
Grant-in-Aid for Young Scientists (B)
|
| Allocation Type | Single-year Grants |
|---|
| Research Field |
Sensitivity informatics/Soft computing
|
|---|
| Research Institution | Tokyo University of Agriculture and Technology |
|---|
Principal Investigator |
TAMUKOH Hakaru Tokyo University of Agriculture and Technology, 大学院・工学研究院, 助教 (90432955)
|
|---|
| Project Period (FY) |
2008 – 2010
|
| Project Status |
Completed (Fiscal Year 2010)
|
| Budget Amount *help |
¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000)
Fiscal Year 2010: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2009: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2008: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
|
|---|
| Keywords | ニューラルネットワーク / 自己組織化マップ / FPGA / 脳型計算機 / 動的再構成 / 自律移動ロボット / 動画像処理 / ハードウェアソフトウェア複合体 / ハードウェア / 動画像 |
|---|
| Research Abstract |
In order to realize an artificial brain function of autonomous robots, we developed FPGA implementations of Self-Organizing Neural Networks, SOM of SOMs, Rough-Winner-Take-All Neural Networks and Adaptive Self-Organizing Maps. We proposed modified algorithms for this effective hardware implementation. The Adaptive Self-organizing Maps hardware was applied to a visual processing of autonomous robot, and achieved 10,000 times faster than a micro-processor implementation. Furthermore, we developed a dynamically reconfigurable platform for self-organizing neural networks based on hardware/software complex system to use the developed device conveniently.
|
