On chip resource distribution is a problem that, due to its complexity, is susceptible to be solved by using artificial intelligence optimization procedures. In this paper, a Hopfield recurrent neural network and a Boltzmann machine are proposed for searching good solutions. The main challenge of this approach is proposing an energy function to be minimized so it mixes all the problem-related restrictions. Experimental data shows that we can get good enough solutions in a reasonable time using Hopfield nets or close to the global minimum solutions using Boltzmann machines. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
Jurado, F. J. S., & Peñas, M. S. (2007). Hopfield neural network and boltzmann machine applied to hardware resource distribution on chips. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4527 LNCS, pp. 387–396). https://doi.org/10.1007/978-3-540-73053-8_39
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