Operational speed improvement for neural network

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395 23, G06F 1518

Patent

active

052710904

ABSTRACT:
Higher operational speed is obtained without sacrificing computational accuracy and reliability in a neural network by interchanging a computationally complex nonlinear function with a similar but less complex nonlinear function in each neuron or computational element after each neuron of the network has been trained by an appropriate training algorithm for the classifying problem addressed by the neural network. In one exemplary embodiment, a hyperbolic tangent function is replaced by a piecewise linear threshold logic function.

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