대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)
- 대한전기학회 1994년도 추계학술대회 논문집 학회본부
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- Pages.326-328
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- 1994
일정적응 이득과 이진 강화함수를 갖는 경쟁 학습 신경회로망
Competitive Learning Neural Network with Binary Reinforcement and Constant Adaptation Gain
- Seok, Jin-Wuk (Dept. of Electrical and Control Eng. Hong Ik Univ.) ;
- Cho, Seong-Won (Dept. of Electrical and Control Eng. Hong Ik Univ.) ;
- Choi, Gyung-Sam (Dept. of Electrical and Control Eng. Hong Ik Univ.)
- 발행 : 1994.11.18
초록
A modified Kohonen's simple Competitive Learning(SCL) algorithm which has binary reinforcement function and a constant adaptation gain is proposed. In contrast to the time-varing adaptation gain of the original Kohonen's SCL algorithm, the proposed algorithm uses a constant adaptation gain, and adds a binary reinforcement function in order to compensate for the lowered learning ability of SCL due to the constant adaptation gain. Since the proposed algorithm does not have the complicated multiplication, it's digital hardware implementation is much easier than one of the original SCL.
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