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Erschienen in:
2009 | OriginalPaper | Buchkapitel
VS-Diagrams Identification and Classification Using Neural Networks
verfasst von : Daniel Gómez, Eduardo J. Moya, Enrique Baeyens, Clemente Cárdenas
Erschienen in: Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living
Verlag: Springer Berlin Heidelberg
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VS (Virtual Supervisor) Diagrams, defined from the FPM (Finite Positions Machines) framework, are used to model, analyze and validate automated manufacturing systems and they are obtained, in a practical way, from the PLC (Programmable Logic Controller) signals. This current paper presents a neural network architecture in order to identify that type of diagrams. It is made up of a supervised Hebb neural network cascade linked to a recurrent Hopfield network.