
Saman Hussein MahmoodSalahaddin University - Erbil | SUH · Department of Statistics
Saman Hussein Mahmood
Doctor of Statistics
About
7
Publications
299
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Introduction
Publications
Publications (7)
Traffic accidents cause injuries and deaths, but also cause material damage to society. Therefore, predicting and identifying the causes of traffic accidents is necessary and important to reduce these losses. The main objective of this study is to develop an ARIMA time series model to investigate and analyze the number of traffic accidents and the...
The research presents a new hybrid model that proposes its use for accurate time series prediction, which combines wavelet transformations to remove de-noise of the data before using it in artificial neural network and applied for time series. To find out the effectiveness and efficiency of the proposed method on artificial neural network models in...
Abstract
Forecasting in the time series is one of the essential subjects in statistical science because its indicators
helps the government to make a good plan to get an accurate decision in the future. This research was conducted
to analyse the time series data for the amount of water consumed in Erbil City for the years proceeding the
period betw...
Brain Stroke is a medical condition in which poor blood flow to the brain results in cell death. It also effects in parts of the brain not functioning properly. This situation is one of the main cause of death and a leading cause of disability in Kurdistan region and in worldwide. The aim of this paper is to predict the membership in two mutually e...
Forecasting in the time series is one of the significant subjects in statistical science. It helps the government
to make a good plan in order to get an accurate decision in future. This research deals with new methods for
forecasting which is artificial neural networks models; specifically MultiLayer Networks as adopted back
propagation algorithm...
The research aims to identify the most important factors affecting the migration of young people from the Kurdistan Region to Europe by factor analysis and cluster analysis and then compare the results to get the most important variables. Data was collected based on the questionnaire form which was distributed some students in all departments in Co...
In this paper discuss the use of artificial neural networks multilayer feed
forward, which are training using and Extended Kalman Filter (EKF) algorithm one
and training Back propagation algorithm standard way then compare them by
using two types of data which are the original data represent time delay of the
network (Aria phone) for telephone comm...