Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 1990.07a
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- Pages.539-541
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- 1990
A Modified Hopfield Network and Its Application To The Layer Assignment
개선된 Hopfield Network 모델과 Layer assignment 문제에의 응용
- Kim, Kye-Hyun (Computer Engineering, Computer Engineering Seoul National Univ.) ;
- Hwang, Hee-Yeung (Computer Engineering, Computer Engineering Seoul National Univ.) ;
- Lee, Chong-Ho (Electrical Engineering Inha Univ.)
- Published : 1990.07.05
Abstract
A new neural network model, based on the Hopfield's crossbar associative network, is presented and shown to be an effective tool for the NP-Complete problems. This model is applied to a class of layer assignment problems for VLSI routing. The results indicate that this modified Hopfield model improves stability and accuracy.
Hopfield crossbar assosiative network을 기초로한 개선된 Hopfield neural network을 제안하고, 이 network이 NP-complete 문제에 대한 효과적인 tool임을 보였다. 이 모델을 YLSI routing을 위한 layer assignment 문제에 응용하였고, 결과 이 개선된 Hopfield model이 stability와 accuracy를 향상시킴을 보여 주었다.
Keywords