초록 ▼

A method of operating a neural network and a neural network, which is implemented either in hardware or software, is constructed of neurons or neuron circuits each having only one significant processing element in the form of a multiplier. The neural network utilizes a training algorithm which does

A method of operating a neural network and a neural network, which is implemented either in hardware or software, is constructed of neurons or neuron circuits each having only one significant processing element in the form of a multiplier. The neural network utilizes a training algorithm which does not require repetitive training and which yields a global minimum to each given set of input vectors.

대표청구항 ▼

[ What is claimed is:] [1.] A method of operating a neural network having a plurality of hidden layer neurons, said method comprising the following steps:(a) distributing network inputs to said hidden layer neurons without performing a non-linear transformation on said network inputs;(b) said hidden

[ What is claimed is:] [1.] A method of operating a neural network having a plurality of hidden layer neurons, said method comprising the following steps:(a) distributing network inputs to said hidden layer neurons without performing a non-linear transformation on said network inputs;(b) said hidden layer neurons applying a plurality of gating functions to said neural network inputs to produce a plurality of gated inputs;(c) said hidden layer neurons multiplying said gated inputs together to generate a plurality of products;(d) said hidden layer neurons multiplying said plurality of products by a weight value to generate a plurality of non-binary neuron outputs without using a non-linear sigmoid function; and(e) summing ones of said non-binary neuron outputs of a first group of said plurality of hidden layer neurons to generate a first network output; and(f) summing ones of said non-binary neuron outputs of a second group of said plurality of hidden layer neurons to generate a second network output.