IEICE TRANSACTIONS on transactions
Neural Computation for Channel Routing Using Hopfield Neural Network Model
Summary :
A neural network model for solving channel routing problem is proposed and described. Channel routing problem is one of the most important and popular phases of computer aided design of VLSI chips. Since the problem is NP-complete, many heuristic algorithms with various routing conditions have been proposed for the last decade. Recently, J.J. Hopfield has demonstrated that a neural network can provide a heuristic technique for solving optimization problem. This paper describes how channel routing problem can be solved by a neural network model proposed by Hopfield. A brief summary of Hopfield neural network model, how to construct a neural network for solving channel routing problem, and results of digital computer simulation are described. Our results show that the neural network could provide good solutions of channel routing problem. For example, it computes a solution of the number of horizontal tracks 31 for the
- Publication
- IEICE TRANSACTIONS on transactions Vol.E72-E No.12 pp.1360-1366
- Publication Date
- 1989/12/25
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- Special Section PAPER (Special Issue on the 2nd Karuizawa Workshop on Circuits and Systems)
- Category
- VLSI Design Technology
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Takashi SHIMAMOTO, Akio SAKAMOTO, "Neural Computation for Channel Routing Using Hopfield Neural Network Model" in IEICE TRANSACTIONS on transactions,
vol. E72-E, no. 12, pp. 1360-1366, December 1989, doi: .
Abstract: A neural network model for solving channel routing problem is proposed and described. Channel routing problem is one of the most important and popular phases of computer aided design of VLSI chips. Since the problem is NP-complete, many heuristic algorithms with various routing conditions have been proposed for the last decade. Recently, J.J. Hopfield has demonstrated that a neural network can provide a heuristic technique for solving optimization problem. This paper describes how channel routing problem can be solved by a neural network model proposed by Hopfield. A brief summary of Hopfield neural network model, how to construct a neural network for solving channel routing problem, and results of digital computer simulation are described. Our results show that the neural network could provide good solutions of channel routing problem. For example, it computes a solution of the number of horizontal tracks 31 for the
URL: https://global.ieice.org/en_transactions/transactions/10.1587/e72-e_12_1360/_p
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@ARTICLE{e72-e_12_1360,
author={Takashi SHIMAMOTO, Akio SAKAMOTO, },
journal={IEICE TRANSACTIONS on transactions},
title={Neural Computation for Channel Routing Using Hopfield Neural Network Model},
year={1989},
volume={E72-E},
number={12},
pages={1360-1366},
abstract={A neural network model for solving channel routing problem is proposed and described. Channel routing problem is one of the most important and popular phases of computer aided design of VLSI chips. Since the problem is NP-complete, many heuristic algorithms with various routing conditions have been proposed for the last decade. Recently, J.J. Hopfield has demonstrated that a neural network can provide a heuristic technique for solving optimization problem. This paper describes how channel routing problem can be solved by a neural network model proposed by Hopfield. A brief summary of Hopfield neural network model, how to construct a neural network for solving channel routing problem, and results of digital computer simulation are described. Our results show that the neural network could provide good solutions of channel routing problem. For example, it computes a solution of the number of horizontal tracks 31 for the
keywords={},
doi={},
ISSN={},
month={December},}
Copy
TY - JOUR
TI - Neural Computation for Channel Routing Using Hopfield Neural Network Model
T2 - IEICE TRANSACTIONS on transactions
SP - 1360
EP - 1366
AU - Takashi SHIMAMOTO
AU - Akio SAKAMOTO
PY - 1989
DO -
JO - IEICE TRANSACTIONS on transactions
SN -
VL - E72-E
IS - 12
JA - IEICE TRANSACTIONS on transactions
Y1 - December 1989
AB - A neural network model for solving channel routing problem is proposed and described. Channel routing problem is one of the most important and popular phases of computer aided design of VLSI chips. Since the problem is NP-complete, many heuristic algorithms with various routing conditions have been proposed for the last decade. Recently, J.J. Hopfield has demonstrated that a neural network can provide a heuristic technique for solving optimization problem. This paper describes how channel routing problem can be solved by a neural network model proposed by Hopfield. A brief summary of Hopfield neural network model, how to construct a neural network for solving channel routing problem, and results of digital computer simulation are described. Our results show that the neural network could provide good solutions of channel routing problem. For example, it computes a solution of the number of horizontal tracks 31 for the
ER -
English
