Logistic regression parameters estimation by using neural networks
Int. Conf. in computer and technology • 2005
معلومات البحث
المؤلفون
Dubov I.R., Diab T.O
الكلمات المفتاحية
logistic regression, neural network
المجلة العلمية
Int. Conf. in computer and technology
الناشر
Not Available
المجلد
Not Available
العدد
Not Available
الصفحات
357-358
publication.type
International
رابط البحث
Not Available
المواد المرفقة
Not Available
الملخص
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
أعضاء هيئة التدريس - جامعة بنها