Enhancing the reusability and interoperability of artificial neural networks with DEVS modeling and simulation

作     者：David Ifeoluwa Adelani Mamadou Kaba Traore 

作者机构：Department of Computer Science African University of Science and TechnologyAbujaNigeria LIMOSCNRS UMR 6158 Universit´e Blaise PascalClermont-Ferrand 2 Campus des Cezeaux63173 Aubiere 

出 版 物：《International Journal of Modeling, Simulation, and Scientific Computing》 (建模、仿真和科学计算国际期刊（英文）)

年 卷 期：2016年第7卷第2期

页      面：88-108页

核心收录：

学科分类：0711[理学-系统科学] 07[理学] 08[工学] 081101[工学-控制理论与控制工程] 0811[工学-控制科学与工程] 071102[理学-系统分析与集成] 081103[工学-系统工程] 

基　　金：funding agency in the public commercial or not-for-profit sectors 

主　　题：Artificial neural networks DEVS Z-schema reusability interoperability HiLLS learning algorithm modeling and simulation 

摘      要：Artificial neural networks(ANNs),a branch of artificial intelligence,has become a very interesting domain since the eighties when back-propagation(BP)learning algorithm for multilayer feed-forward architecture was introduced to solve nonlinear *** is used extensively to solve complex nonalgorithmic problems such as prediction,pattern recognition and ***,in the context of a holistic study,there may be a need to integrate ANN with other models developed in various paradigms to solve a *** this paper,we suggest discrete event system specification(DEVS)be used as a model of computation(MoC)to make ANN models interoperable with other models(since all discrete event models can be expressed in DEVS,and continuous models can be approximated by DEVS).By combining ANN and DEVS,we can model the complex configuration of ANNs and express its internal ***,we are extending the DEVS-based ANN proposed by Toma et al.[A new DEVS-based generic art-ficial neural network modeling approach,The 23rd European Modeling and Simulation Symp.(Simulation in Industry),Rome,Italy,2011]for comparing multiple configuration parameters and learning algorithms and also to do *** DEVS models are described using the high level language for system specification(HiLLS),[Ma¨ıga et al.,A new approach to modeling dynamic structure systems,The 29th European Modeling and Simulation Symp.(Simulation in Industry),Leicester,United Kingdom,2015]a graphical modeling language for *** developed platform is a tool to transform ANN models into DEVS computational models,making them more reusable and more interoperable in the context of larger multi-perspective modeling and simulation(MAS).