VLSI Implementation of TInMANN
Abstract
A massively parallel, all-digital, stochastic architecture - TlnMAN N - is described which performs competitive and Kohonen types of learning. A VLSI design is shown for a TlnMANN neuron which fits within a small, inexpensive MOSIS TinyChip frame, yet which can be used to build larger networks of several hundred neurons. The neuron operates at a speed of 15 MHz which allows the network to process 290,000 training examples per second. Use of level sensitive scan logic provides the chip with 100% fault coverage, permitting very reliable neural systems to be built.
Cite
Text
Melton et al. "VLSI Implementation of TInMANN." Neural Information Processing Systems, 1990.Markdown
[Melton et al. "VLSI Implementation of TInMANN." Neural Information Processing Systems, 1990.](https://mlanthology.org/neurips/1990/melton1990neurips-vlsi/)BibTeX
@inproceedings{melton1990neurips-vlsi,
title = {{VLSI Implementation of TInMANN}},
author = {Melton, Matt and Phan, Tan and Reeves, Doug and Van den Bout, Dave},
booktitle = {Neural Information Processing Systems},
year = {1990},
pages = {1046-1052},
url = {https://mlanthology.org/neurips/1990/melton1990neurips-vlsi/}
}