Some Theorems for Feed Forward Neural Networks

17 Sep 2015K. EswaranVishwajeet Singh

In this paper we introduce a new method which employs the concept of "Orientation Vectors" to train a feed forward neural network and suitable for problems where large dimensions are involved and the clusters are characteristically sparse. The new method is not NP hard as the problem size increases... (read more)

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