Document Details

Document Type : Article In Journal 
Document Title :
Development of a Cross-Platform Artificial Neural Network Component for Intelligent Systems
تطوير مركب شبكات عصبية اصطناعية متعددة المنصات لنظم ذكية
 
Subject : Industrial Engineering 
Document Language : English 
Abstract : In recent years, cross-platform application development has become a major issue in the area of information systems technology. Modeling and design tools have been developed for multiple platforms due to their potential capability in many environments. Unified Modeling Language (UML), as an example, combines all stages of application development life cycle, and generates cross-platform codes using object-oriented methodology. Artificial Neural Networks (ANNs) have been adapted extensively for solving a wide range of problems efficiently. Nowadays, systems need to be developed within the shortest possible time because of the competence in the market. Therefore, one needs a quicker way of embedding ANNs into Software Development Life Cycles on multiple platforms. This approach requires a cross-platform ANN tool. This paper describes a component that is suitable for UML environment and discusses some of its features. Finally, two case studies are presented in order to illustrate the usefulness of the suggested component. 
ISSN : 1319-1047 
Journal Name : Engineering Sciences Journal 
Volume : 16 
Issue Number : 2 
Publishing Year : 1426 AH
2005 AD 
Number Of Pages : 16 
Article Type : Article 
Added Date : Sunday, October 11, 2009 

Researchers

Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
جولتكن بي. سيتنر Gültekin B. CetinerResearcher  
هاني محمد أبوراسH. M. AburasResearcher  

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