%0 Conference Proceedings
%T Artificial Neural Networks as Tools for Controlling Production Systems and Ensuring Their Stability
%+ Wroclaw University of Science and Technology
%A Burduk, Anna
%Z Part 8: Industrial Applications
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 12th International Conference on Information Systems and Industrial Management (CISIM)
%C Krakow, Poland
%Y Khalid Saeed
%Y Rituparna Chaki
%Y Agostino Cortesi
%Y Sławomir Wierzchoń
%I Springer
%3 Computer Information Systems and Industrial Management
%V LNCS-8104
%P 487-498
%8 2013-09-25
%D 2013
%R 10.1007/978-3-642-40925-7_45
%K production system
%K production process stability
%K neural networks
%Z Computer Science [cs]
%Z Humanities and Social Sciences/Library and information sciencesConference papers
%X 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.
%G English
%Z TC 8
%2 https://inria.hal.science/hal-01496094/document
%2 https://inria.hal.science/hal-01496094/file/978-3-642-40925-7_45_Chapter.pdf
%L hal-01496094
%U https://inria.hal.science/hal-01496094
%~ SHS
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-TC8
%~ IFIP-CISIM
%~ IFIP-LNCS-8104