Models based on an artificial neural network (the multilayer perceptron) and binary logistic regression were compared in their ability to differentiate between disease-free subjects and those with impaired glucose tolerance or diabetes mellitus diagnosed by fasting plasma glucose. Demographic, anthropometric and clinical data were collected from 7222 participants aged 30-88 years in the Tehran ...

The paper presents a new algorithm to build a feedforward neural network with a single hidden layer. The algorithm starts with 1 hidden unit and the new hidden units are added to the network only if they improve the classification accuracy of the network on the cross-validation samples. The initialization of the weights and bias is done using Nguyen-Widrow method and the network is trained with...

This paper proposes an adaptive technique in the prediction of dichotomous response variable by combining fuzzy concept with statistical logistic regression. The model was tested on cancer dataset in predicting cancer susceptibility. In this paper we will present the development, evaluation and validation of the proposed model based on the experiment carried out. Explanatory power of the adapti...

the purpose of this study is presenting a model forecasting financial crisis in tehran stock exchange listed companies. to do this, productive firms that had been accepted in tehran stock exchange between 2002 and 2009, were selected as the study sample. first the independent variables were obtained based on financial ratios and then based on article 141 of the law of commerce, the insolvent an...

Abstract With the wide application of photothermal power stations in systems, Direct Normal Irradiance(DNI) prediction is very important to improve economic benefits and utilization solar energy. The short-term wind by traditional Sparrow search algorithm (SSA) optimized BP(SSA-BP) neural network prone fall into local optimum, slow convergence rate, low accuracy. A DNI method based on Logistic ...