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Classifying the Depression Data Polynomial Discriminant Vectors

P. Radha, Dr.E. Ramaraj, Dr.S. Purushothaman

Abstract


This paper discusses the preprocessing and
classification of depression data using back propagation algorithm
(BPA).In general, input vectors will not be orthogonal to each other.
The proposed method of preprocessing the input vector makes
possible BPA learn the input vectors. The classification performance
of BPA have been shown for a minimum 80%.


Keywords


Depression Data, Back Propagation Algorithm, Polynomial Discriminant Vector (PDV).

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