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Authors
Affiliations
1 Department of Computer Science and Engineering, Alagappa University, Karaikudi, IN
2 Computer Center, Alagappa University, Karaikudi, IN
3 Udaya School of Engineering, 629204, IN
Source
Artificial Intelligent Systems and Machine Learning, Vol 4, No 4 (2012), Pagination: 212-217
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).