An algorithm that is faster than back-propagation and for which it is not necessary to specify the number of hidden units in advance is described. The relationship with other fast pattern-recognition algorithms, such as algorithms based on k-d trees, is discussed. The algorithm has been implemented and tested on artificial problems, such as the parity problem, and on real problems arising in sp...

This paper deals with the multiperspective recognition technique applied to the computer-aided decisions in medicine. For three different concepts of multiperspective classification, i.e. direct, decomposed independent and decomposed dependent approach, several decision algorithms are presented. They are: probabilistic (empirical Bayes) algorithm, nearest neighbour algorithm, fuzzy method and a...

This paper, presents a theoretical and practical basis of preprocessing on handwritten text for character recognition using forward-feed neural networks. Afterwards, the Feed forward algorithm gives working of a neural network followed by the Back Propagation Algorithm which compromises Training, Calculating Error, and Modifying Weights. The proposed solutions focus on applying Back Propagation...