Training system for neural networks and the like

Details Training system for neural networks and the like Training system for neural networks and the like

1990-12-26

1993-06-22

Fleming, Michael R.

395 24, 395 27, G06F 1518

Patent

active

052221938

ABSTRACT:
A means and method for training an electronic network of analog cells. A generic universal programmer interface (GUPI) is provided to enable connection of an adaptor to a host computer via a personal computer personal programmer (PCPP) for training an ETANN chip. An opening in the top of the GUPI provides for installation of the adaptor. The adaptor of the present invention plugs into the GUPI module to provide for connecting either an ETANN chip or a Confidence Test Module (CTM) for access by the user via the host computer. A target socket located on the top surface of the adaptor allows the user to physically connect the ETANN chip or the CTM to adapter of the present invention. The adaptor provides the resources needed for training an ETANN in several modes including: digital to analog conversion for driving the ETANN's analog input pins; a single analog to digital converter with an 80 channel analog multiplexer for measuring the ETANN's analog outputs; neuron perturbation circuitry; synapse current measurement circuitry; neuron sum measurement circuitry; V.sub.PP management circuitry; a binary searching synapse weight measurement circuit; isolation switches and the logic necessary to connect all these resources to the ETANN and the GUPI base. The present invention also includes host computer software necessary to control the operation of the adapter.

REFERENCES:
patent: 4807168 (1989-02-01), Moopenn et al.
patent: 4866645 (1989-09-01), Lish
patent: 5087826 (1992-02-01), Holler et al.
Eberhardt et al., "Design of Parallel Hardware Neural Network Systems from Custom Analog VLSI `Building Block` Chips", IJCNN, 1989, II, 183-190.
Holler et al., "An Electrically Trainable Artificial Neural Network (ETANN) with 10240 Floating Gate Synapses", Proc. Intl. Conf. Neural Networks, 1989, II, 191-196.
McClelland et al., "Explorations in Parallel Distributed Processing", MIT Press, 1988, pp. 1-3, 121-150, 246, 251.

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