Volume 13 Issue 1
Published: 2025-06-25
Contents
Article
Improving the Learning Rate of the Back Propagation Algorithm by Aitkin Process
Khalil K. Abbo
The Back Propagation Algorithm is used for training feed Forward Multilayer Neural Networks (FFMNN).But often this algorithm takes long time to converge since it may fall into local minimu, for...
Person recognize using Elman neural network by face image
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The purpose of this system is to recognize aperson`s using face image, and the uses of this system at airports and other offices which use surveillance cameras that take pictures of views and...
Study Series Stocks Exchange by using PMRS , ANN , and ARIMA
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It is well known that the processes of countries development is the process of planning and setting future plans. This demands the use of advanced statistical styles. So , we have conducted a...
Proposed Method for Bootstrap Technique to Estimate the Results of some Men’s Competitions in the Coming Olympic Games (2012, 2016) in case of Using Incomplete Data
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In this paper, the application of Bootstrap Method in predicting the results of Skipping and Jumping competitions for men in the next two sessions of Olympic Games 2012 and 2016. The researcher...
A GENETIC ALGORITHM TO MINIMIZE THE MAKESPAN FOR THREE MACHINE FLOW SHOP SCHEDULING
MANAL ABDULKAREEM ZEIDAN
The aim of this paper is to propose genetic algorithm to finding the optimal schedule with minimum makespan for n jobs in flow shop environment with three machines.In this pape, a new approach for...
Creating a Genetic Algorithm to Test the Optimum of the
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The standard number is considered an important statistical tool to measure change quantity in economic phenomena through two different periods or places ; the first is named the basis period and...
Preparing a dynamic model for water filtering process in Mosul city
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In this research the scientific dynamic process is studied conceringwater filtering in Mosul city through employing the input and output variables represented by some tests which were performed on...
Using the Canonical Correlation Analysis Technique for Imaging Dimensionality Reduction in Multisource Land sat Images
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The Canonical Correlations Analysis technique (CCA) was suggested in the dimensionality reduction images for the multivariate multisource data applied in remote sensing . These techniques transform...
