Logistic regression parameters estimation by using neural networks
Int. Conf. in computer and technology • 2005
Publication Information
Authors
Dubov I.R., Diab T.O
Keywords
logistic regression, neural network
Journal
Int. Conf. in computer and technology
Publisher
Not Available
Volume
Not Available
Issue
Not Available
Pages
357-358
publication.type
International
Paper Link
Not Available
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
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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