2011 Fiscal Year Final Research Report
A research on evolutionary automatic construction of image recognition procedure based on machine learning
Project/Area Number |
21300050
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Research Category |
Grant-in-Aid for Scientific Research (B)
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Allocation Type | Single-year Grants |
Section | 一般 |
Research Field |
Intelligent informatics
|
Research Institution | Yokohama National University |
Principal Investigator |
NAGAO Tomoharu 横浜国立大学, 環境情報研究院, 教授 (10180457)
|
Project Period (FY) |
2009 – 2011
|
Keywords | 知能情報処理 / 進化計算法 / 人工知能 / 機械学習 / 知能機械 / 知能ロボティクス |
Research Abstract |
In this project, we researched automatic construction of image recognizer by using evolutionary computation. As the result, we developed a method named "Evolutionary Decision Network". In this system, by giving learning images to computer, a network that classifies the input signal and its referential signals into several classes is automatically generated. Each node of the network branches the signal according to the size of its feature value. We performed several experiments including medical image recognition, and verified the usefulness of the proposed method.
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