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publication name Logistic regression parameters estimation by using neural networks
Authors Dubov I.R., Diab T.O
year 2005
keywords logistic regression, neural network
journal Int. Conf. in computer and technology
volume Not Available
issue Not Available
pages 357-358
publisher Not Available
Local/International International
Paper Link Not Available
Full paper download
Supplementary materials Not Available
Abstract

Logistic Regression (LR) is a well known classification method in the field of statistical learning. It allows probabilistic classification and shows promising results on several benchmark problems. Logistic regression enables us to investigate the relationship between a categorical outcome and a set of explanatory variables. Artificial Neural Networks (ANNs) are popularly used as universal non-linear inference models and have gained extensive popularity in recent years. Research activities are considerable and literature is growing The goal of this research work is to evaluate the parameters of the logistic regression by using neural network

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