一种新的全自适应神经网络建模方法及其彩色Petri网实现

IF 1.4 4区 计算机科学 Q4 AUTOMATION & CONTROL SYSTEMS Discrete Event Dynamic Systems-Theory and Applications Pub Date : 2023-06-01 DOI:10.1007/s10626-023-00377-9
Rosângela Albuquerque, C. Júnior, G. Barroso, Guilherme Barreto
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A novel fully adaptive neural network modeling and implementation using colored Petri nets
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来源期刊
CiteScore
3.90
自引率
5.00%
发文量
13
审稿时长
>12 weeks
期刊介绍: The research on discrete event dynamic systems (DEDSs) is multi-disciplinary in nature and its development has been dynamic. Examples of DEDSs include manufacturing plants, communication networks, computer systems, management information databases, logistics systems, command-control-communication systems, robotics, and other man-made operational systems. The state processes of such systems cannot be described by differential equations in general. The aim of this journal, Discrete Event Dynamic Systems: Theory and Applications, is to publish high-quality, peer-reviewed papers on the modeling and control of, and all other aspects related to, DEDSs. In particular, the journal publishes papers dealing with general theories and methodologies of DEDSs and their applications to any particular subject, including hybrid systems, as well as papers discussing practical problems from which some generally applicable DEDS theories or methodologies can be formulated; The scope of this journal is defined by its emphasis on discrete events and the dynamic nature of the systems and on their modeling, control and optimization.
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