Artificial Neural Networks as Tools for Controlling Production Systems and Ensuring Their Stability

Abstract : Models of artificial neural networks can be used to control a production system, and thus to ensure its stability. Such models are very useful tools, because they can be built quickly and easily. The only issue is a large amount of data needed in the neural network training process. However, in the era of common availability of IT systems, the parameterization and standardization of production processes is not a problem anymore. Contemporary production systems are mostly automated and metered. This paper presents a method for building a model of an artificial neural network for controlling a wire harness production system and determining its stability.
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Khalid Saeed; Rituparna Chaki; Agostino Cortesi; Sławomir Wierzchoń. 12th International Conference on Information Systems and Industrial Management (CISIM), Sep 2013, Krakow, Poland. Springer, Lecture Notes in Computer Science, LNCS-8104, pp.487-498, 2013, Computer Information Systems and Industrial Management. 〈10.1007/978-3-642-40925-7_45〉
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Anna Burduk. Artificial Neural Networks as Tools for Controlling Production Systems and Ensuring Their Stability. Khalid Saeed; Rituparna Chaki; Agostino Cortesi; Sławomir Wierzchoń. 12th International Conference on Information Systems and Industrial Management (CISIM), Sep 2013, Krakow, Poland. Springer, Lecture Notes in Computer Science, LNCS-8104, pp.487-498, 2013, Computer Information Systems and Industrial Management. 〈10.1007/978-3-642-40925-7_45〉. 〈hal-01496094〉

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