Self-organization and associative memory: 3rd edition
Self-organization and associative memory: 3rd edition
A neural network design for circuit partitioning
DAC '89 Proceedings of the 26th ACM/IEEE Design Automation Conference
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations
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This paper presents a new neural network approach to the pre-placement of VLSI blocks. Our innovation consists in considering the pre-placement problem as a classification problem, and in implementing a neural network learning algorithm, derived from Kohonen maps, to accomplish this task. The neural network has been simulated and the results have been compared with those obtained from a classical min-cut algorithm. The comparison shows as our technique offers comparable quality of solutions, but presents a more favourable computational complexity.