NDLI: Arbitrarily shaped cell placement by three-layer self-organizing neural networks

Content Provider	IEEE Xplore Digital Library
Author	Ray-I Chang Pei-Yung Hsiao
Copyright Year	1994
Description	Author affiliation: Dept. of Comput. & Inf. Sci., Nat. Chiao Tung Univ., Hsinchu, Taiwan (Ray-I Chang)
Abstract	In this paper, a three-layer self-organizing neural network is designed to resolve the cell placement problem with arbitrarily-shaped rectilinear cells. The proposed model with additional hidden layer can easily model the rectilinear cells by a set of hidden neurons which correspond to the partitioned rectangles of cells, called "molecule model". With the collective computing property and solid-connection of neural networks, these rectilinear cells can correctly interact with each other and finally converge to a good placement result. The placement results of rectilinear test examples have been presented In this paper, multiple contradictory criteria are accounted simultaneously during the placement process, in which, total wire length is reduced without module overlap.<>
Starting Page	399
Ending Page	402
File Size	449898
Page Count	4
File Format	PDF
ISBN	078031915X
DOI	10.1109/ISCAS.1994.409610
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1994-05-30
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neural networks Computer networks Wire Circuits Shape Information science Neurons Very large scale integration Testing Heuristic algorithms
Content Type	Text
Resource Type	Article

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