L. Giovannacci

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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(More)
The authors present a modified Tank and Hopfield neural network for solving the problem of cell placement in integrated circuits, a constrained optimization problem that is NP-complete. The neural network is composed of two mutually interconnected subcircuits. One determines the configuration of cells on the plane for which the bounding box area and(More)
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