| Budget Amount *help |
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2017: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2016: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2015: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
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| Outline of Final Research Achievements |
A decentralized awareness system with a set of self-aware neural network subsystems has been developed in this project. Awareness neural networks of being aware of their states, behavior and performance can better acquire the right representations of the learned data. They are able to distribute context information through the whole decentralized learning system.
Two levels of self-awareness have been created in the decentralized learning system by negative correlation learning with difference learning and the bounded learning. They are private self-awareness for individual neural networks and public self-awareness for the decentralized learning system.
Awareness neural networks could better meet their requirements for predictions in the applications on both medical and financial data. The research results have been published in the international journals, and presented in a number of international conferences.
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