Operational speed improvement for neural networks

G - Physics – 06 – F

Patent

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354/160

G06F 17/16 (2006.01) G06N 3/04 (2006.01)

Patent

CA 2035338

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 ineach 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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