Cox regression model serves as a statistical method for analyzing the survival data, which requires some options such as hazard proportionality. In recent decades, artificial neural network model has been increasingly applied to predict survival data. This research was conducted to compare Cox regression and artificial neural network models in prediction of kidney transplant survival. The prese...

Accurate pore pressure prediction is a necessary requirement to well structure optimizing, drilling difficulty minimizing, drilling accidents preventing. It plays a very important role in the economically and efficiently well operating. Previous methods for pore prediction have their own hypothesizes and cannot take into consideration factors that indicate or influence the pore pressure, so the...

background: the purpose of this investigation was to compare empirically predictive ability of an artificial neu­ral network with a logistic regression in prediction of low back pain. methods: data from the second national health survey were considered in this investigation. this data in­cludes the information of low back pain and its associated risk factors among iranian people aged 15 years a...

In this paper we present a recurrent neural network model to recognize efficient Decision Making Units(DMUs) in Data Envelopment Analysis(DEA). The proposed neural network model is derived from an unconstrained minimization problem. In theoretical aspect, it is shown that the proposed neural network is stable in the sense of lyapunov and globally convergent. The proposed model has a single-laye...

An artificial neural network is a densely interconnected array of simple processing elements (referred to as neurons herein) arranged in an input layer, an output layer, and (usually) one or more 'hidden layers' that have neither direct inputs from outside the network nor direct outputs beyond the network, all designed to simulate the learning and recall functions of analogous structures in the...

today one of the most important problems in agriclimatology in effecting of climate on products. one of the climate elements in freezing which according to the continuity , extend and amount of it on agricultural activities ,transportation and invironment has a lot of affections. least temperature forcasts as one of the important climatic elements to forcasting late coldness and freezing in spr...

Introduction: The possibility of depression is common in the elderly. Novel technologies allow us to monitor people related to depression. Hence, a model was provided to detect depression in elderly based on artificial neural network (ANN). Methods: The present study is an applied descriptive-survey research. Forty elderly people were randomly selected from the Elderly Care Center in Gonbad Ka...

The identification of nonlinear systems by artificial neural networks has been successfully applied in many applications. In this context, the radial basis function neural network (RBF-NN) is a powerful approach for nonlinear identification. A RBF neural network has an input layer, a hidden layer and an output layer. The neurons in the hidden layer contain Gaussian transfer functions whose outp...