Abstract
The pRAM (probabilistic RAM) models the non-linear and stochastic features found in biological neurons. The pRAM is realisable in hardware and the fourth generation VLSI pRAM chip is described here. This chip contains 256 pRAM neurons and learning algorithms are built into the hardware. Several such chips can be connected together to form larger nets.
Cite
CITATION STYLE
APA
Clarkson, T. G., & Ng, C. K. (1993). Aarchitectures for self-learning neural network modules. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 686, pp. 471–475). Springer Verlag. https://doi.org/10.1007/3-540-56798-4_190
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