Neural networks and methods for training neural networks

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395 23, G06F 1518

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054267218

ABSTRACT:
Novel neural networks and novel methods for training those networks are disclosed. The novel networks are feedforward networks having at least three layers of neurons. The training methods are easy to implement, converge rapidly, and are guaranteed to converge to a solution. A novel network structure is used, in which each corner of the input vector hypercube may be considered separately. The problem of mapping may be reduced to a sum of corner classification sub-problems. Four efficient, alternative classification methods for use with the novel neural networks are also disclosed.

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