Some Theorems for Feed Forward Neural Networks

Abstract

This paper introduces a new method which employs the concept of “Orientation Vectors” to train a feed forward neural network. It is shown that this method is suitable for problems where large dimensions are involved and the clusters are characteristically sparse. For such cases, the new method is not NP hard as the problem size increases. We ‘derive’ the… (More)

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Cite this paper

@article{Eswaran2015SomeTF, title={Some Theorems for Feed Forward Neural Networks}, author={K. Eswaran and Vishwajeet Singh}, journal={CoRR}, year={2015}, volume={abs/1509.05177} }