| Budget Amount *help |
¥18,330,000 (Direct Cost: ¥14,100,000、Indirect Cost: ¥4,230,000)
Fiscal Year 2011: ¥3,250,000 (Direct Cost: ¥2,500,000、Indirect Cost: ¥750,000)
Fiscal Year 2010: ¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2009: ¥10,660,000 (Direct Cost: ¥8,200,000、Indirect Cost: ¥2,460,000)
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| 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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