2013 Fiscal Year Final Research Report
Learning automaton in a non-stationary environment - Towards the effective use of soft computing -
| Project/Area Number |
23500277
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Sensitivity informatics/Soft computing
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| Research Institution | Osaka Kyoiku University |
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Principal Investigator |
BABA Norio 大阪教育大学, 教育学部, 名誉教授 (30035654)
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| Co-Investigator(Renkei-kenkyūsha) |
KUBOTA Naoyuki 首都大学東京, システムデザイン研究科, 准教授 (30298799)
HANDA Hisashi 岡山大学, 工学部, 助教 (60304333)
MOGAMI Yoshio 徳島大学, 工学部, 准教授 (50093894)
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| Project Period (FY) |
2011 – 2013
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| Keywords | ニューラルネットワーク |
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| Research Abstract |
The ambient environment that we humans face in reality is one in which almost all is changed with time characteristics. Therefore, in order to establish the utility of soft computing techniques, it is necessary to confirm the validity of the soft computing techniques under so-called non-stationary environment whose characteristics changed with time.
In this study we propose the fusion system of soft computing technology (such as NNs) and learning automata and check the effectiveness of the fusion system through the various applications such as stock price prediction, computer gaming and etc.
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