Artificial Neural networks (ANN) are powerful and effective tools in time-series applications. The first aim of this paper is to diagnose better and more efficient ANN models (Back Propagation, Radial Basis Function Neural networks (RBF), and Recurrent neural networks) in solving the linear and nonlinear time-series behavior. The second aim is dealing with finding accurate estimators as the convergence sometimes is stack in the local minima. It is one of the problems that can bias the test of the robustness of the ANN in time series forecasting. To determine the best or the optimal ANN models, forecast Skill (SS) employed to measure the efficiency of the performance of ANN models. The mean square error and

The study using Nonparametric methods for roubust to estimate a location and scatter it is depending  minimum covariance determinant of multivariate regression model , due to the presence of outliear values and increase the sample size and presence of more than after the model regression multivariate therefore be difficult to find a median location .       

It has been the use of genetic algorithm Fast – MCD – Nested Extension and compared with neural Network Back Propagation of multilayer in terms of accuracy of the results and speed in finding median location ,while the best sample to be determined by relying on less distance (Mahalanobis distance)has the stu

     Recently Tobit  Quantile Regression(TQR) has emerged as an important tool in statistical analysis . in order to improve the parameter estimation in (TQR) we proposed Bayesian hierarchical model with double adaptive elastic net technique  and Bayesian hierarchical model with adaptive ridge regression technique .

 in double adaptive elastic net technique we assume  different penalization parameters  for penalization different regression coefficients in both parameters λ₁and  λ₂  , also in adaptive ridge regression technique we assume different  penalization parameters for penalization different regression coefficients i

ABSTRACT

The Iraqi Government had used all Possible methods of financing the fiscal deficit according to the economic and Political Circumstances at the time. It had borrowed from abroad during the 1980_s. Those methods of borrowing led to negative impacts on the Iraqi economy such as increased external dept burden, higher inflation rate, negative interest rate and accumulation of domestic debt.

The "Financial Management and Public Debt" law no 95/ 2004 made a great change in those methods of Financing fiscal deficit in Iraq. Before 2004, the deficit was financed by issuing Treasury Bills and selling them to the Central Bank of Iraq with a prefixed interest rate. Thus, i

The stories of children in Iraq during the past two decades have received a number of important scientific studies. Despite tyranny of the historical study method on most of these studies, they have been and still are very important, because they have established a chronicle of this literary style that has been neglected and based not only on the academic level and serious in-depth university studies but also on the enclosed sight that doesn’t consider studied art as an innovation with its specificity and its typical technical components. While many of the public impressions and self-reflections contributed to the dominance of some of the provisions and concepts that were circulated as critical remarks and adopted by som

المقدمة:

تعد الخطوة الأولى او خطوة البداية من اهم التحديات التي تواجه الاقتصاديين وصناع القرار في العراق لإعادة تنظيم الاقتصاد العراقي وإعادة اعمار ما دمرته الحروب والسياسات الاقتصادية السابقة على حد سواء، فالتخلف ضارب إطنابه في كل مكان، فهناك تخلف في القطاعات الرئيسية المختلفة كالقطاع الزراعي والصناعي وهناك تدمير في البنية التحتية نتيجة الحرب وما قبلها واختلال في الإنتاج ومعدلات ع

تعد الدیمقراطیة الخیار المناسب للمشكلات والأزمات التي تواجه أقطار الوطن العربي بـشكل عـام والعـراق ٕ بــشكل خــاص، فهــي لا تقــدم المعالجــات والحلــول الآنیــة لهــذه المــشكلات والأزمــات فحــسب،وانما تــضع الأطـــر والسیاقات لنمو وتطور النظام السیاسي وبناء هیكل دولة عصریة حدیثة. وفي الوقت الذي تحظى فیه الجوانب المؤسسیة بأهمیة قصوى فـي إطـار العملیـة الدیمقراطیـة، فـان غیابهـا یعمل على تشویه هذه ا

Artificial fish swarm algorithm (AFSA) is one of the critical swarm intelligent algorithms. In this
paper, the authors decide to enhance AFSA via diversity operators (AFSA-DO). The diversity operators will
be producing more diverse solutions for AFSA to obtain reasonable resolutions. AFSA-DO has been used to
solve flexible job shop scheduling problems (FJSSP). However, the FJSSP is a significant problem in the
domain of optimization and operation research. Several research papers dealt with methods of solving this
issue, including forms of intelligence of the swarms. In this paper, a set of FJSSP target samples are tested
employing the improved algorithm to confirm its effectiveness and evaluate its ex

Abstract

   The method binery logistic regression and linear discrimint function of the most important statistical methods used in the classification and prediction when the data of the kind of binery (0,1) you can not use the normal regression therefore resort to binary logistic regression and linear discriminant function in the case of two group in the case of a Multicollinearity problem between the data (the data containing high correlation) It became not possible to use binary logistic regression and linear discriminant function, to solve this problem, we resort to Partial least square regression.

In this, search th