| Project/Area Number |
20760246
|
|---|
| Research Category |
Grant-in-Aid for Young Scientists (B)
|
| Allocation Type | Single-year Grants |
|---|
| Research Field |
Communication/Network engineering
|
|---|
| Research Institution | Sophia University |
|---|
Principal Investigator |
AOMORI Hisashi Sophia University, 理工学部, 助教 (20453607)
|
|---|
| Co-Investigator(Renkei-kenkyūsha) |
TANAKA Mamoru 上智大学, 理工学部, 教授 (00146804)
OTAKE Tsuyoshi 玉川大学, 工学部, 准教授 (20296883)
TAKAHASHI Nobuaki 日本アイ・ビー・エム株式会社
|
|---|
| Project Period (FY) |
2008 – 2010
|
| Project Status |
Completed (Fiscal Year 2010)
|
| Budget Amount *help |
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2010: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2009: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2008: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
|
|---|
| Keywords | セルラーニューラルネットワーク / 非線形ダイナミクス / 空間領域シグマデルタ変調 / 同期現象 / ニューロダイナミクス / シグマデルタ変調 / オーバーサンプリング / ダイナミクス / ニューラルネット / 非線形回路 |
|---|
| Research Abstract |
In this research, the basic theories and applications of the sigma-delta cellular neural network (SD-CNN) were studied. For its applications, the second-order SD-CNN and the SD-CNN with over sampling technique were developed. Also, basics of spatio-temporal dynamics of SD-CNN were clarified. Moreover, the image prediction performance in the DA part will be improved by the image context-driven CNN predictors whose parameters can be determined by supervised learning.
|
