Development of a Cross-Platform Artificial Neural Network Component for Intelligent Systems

Abstract. In recent years, cross-platform application development hasbecome a major issue in the area of information systems technology.Modeling and design tools have been developed for multiple platformsdue to their potential capability in many environments. UnifiedModeling Language (UML), as an example, combines all stages ofapplication development life cycle, and generates cross-platformcodes using object-oriented methodology. Artificial Neural Networks(ANNs) have been adapted extensively for solving a wide range ofproblems efficiently. Nowadays, systems need to be developed withinthe shortest possible time because of the competence in the market.Therefore, one needs a quicker way of embedding ANNs into SoftwareDevelopment Life Cycles on multiple platforms. This approachrequires a cross-platform ANN tool. This paper describes a componentthat is suitable for UML environment and discusses some of itsfeatures. Finally, two case studies are presented in order to illustratethe usefulness of the suggested component.