论文信息 - S. Y. Kung

S. Y. Kung

This paper prop- a generic iterative model for a wide variety of artificial neural networks (ANN.): sin& layer feedback networks, multilayer feed-forward networks, hierarchical competitive networks, and hidden Markov models. Unifying mathematical formulations are provided for both the retrieving and learning phases of ANNs. Based on the onifying mathematical formulation, a programmable universal ring systolic array is derived for both ph-, which mudmiees the strength of VLSI in terms of intensive and pipelined computing and yet circumvents the limitation on communication. Hardware implementation for the processing units based on Cordic techniquea is also discussed.

Jenq-Neng Hwang

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