Boltzmann machines are a useful model for deep neural networks in artificial intelligence, but in their software or hardware implementation, they require random number generation for stochastic operation, which consumes considerable computational resources and power. Chaotic Boltzmann machines (CBMs) have been proposed as a model using chaotic dynamics instead of stochastic operation. They require no random number generation, and are suitable for analog VLSI implementation. In this paper, we describe software simulation results for CBM operation, and propose a CMOS circuit of CBMs using the subthreshold operation of MOSFETs.
CITATION STYLE
Yamaguchi, M., Kato, T., Wang, Q., Suzuki, H., Tamukoh, H., & Morie, T. (2016). A CMOS unit circuit using subthreshold operation of MOSFETs for chaotic Boltzmann machines. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9947 LNCS, pp. 248–255). Springer Verlag. https://doi.org/10.1007/978-3-319-46687-3_27
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