Digital neural network processing elements

Details Digital neural network processing elements Digital neural network processing elements

1989-10-03

1991-12-17

MacDonald, Allen R.

G06F 1518

Patent

active

050738674

ABSTRACT:
A preprocessing device is disclosed which performs a linear transformation or power series expansion transformation on the input signals to a neural network node. The outputs of the preprocessing device are combined as a product of these linear transformations and compared to a threshold. This processing element configuration, combining a transformation with a product and threshold comparison, performs non-linear transformations between input data and output results. As a result, this processing element will, by itself, produce both linearly and non-linearly separable boolean logic functions. When this processing element is configured in a network, a two layer neural network can be created which will solve any arbitrary decision making function. This element can be configured in a probability based binary tree neural network which is validatable and verifiable in which the threshold comparison operation can be eliminated. The element can also be implemented in binary logic for ultra high speed. If the linkage element performs the power series expansion, a universal or general purpose element is created.

REFERENCES:
An Introduction to Computing with Neural Nets; IEEE ASSP Magazine; Apr. 1987; Lippmann; pp. 4-21.

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