대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)
- 대한전기학회 1993년도 하계학술대회 논문집 A
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- Pages.221-223
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- 1993
선형계획 문제의 해를 구하는 신경회로
Neural Networks for Solving Linear Programming Problems and Linear Systems
- Chang, S.H. (Dept of Electronics Eng., Kangwon National University) ;
- Kang, S.G. (Dept of Electronics Eng., Kangwon National University) ;
- Nam, B.H. (Dept of Control and Instrumentation Eng. Kangwon National University) ;
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Lee, J.M.
(Dept of Control and Instrumentation Eng. Kangwon National University)
- 발행 : 1993.07.18
초록
The Hopfield model is defined as an adaptive dynamic system. In this paper we propose a modified neural network which is capable of solving linear programming problems and a set of linear equations. The model is directly implemented from the given system, and solves the problem without calculating the inverse of the matrices. We get the better stability results by the addition of scaling property and by using the nonlinearities in the linear programming neural networks.
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