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Utilization of C# Neural Networks Library in Industry Applications

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e-Technologies and Networks for Development (ICeND 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 171))

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Abstract

Paper deal with a problems related to design and realization of application with the help of neural networks library, which is developed in object orientated programming language C#. This application classifies data that are obtained within industrial processes. Data used in this project was received during measurement of material diagnostics and its structural defects. Core of developed application is based on neural networks design, which is capable to classify whether the material has defect or not. Before classification itself it is necessary to set structural parameters of the neural network to obtain a good quality results. Afterwards application outputs are compared with outputs from Statistica programme, which is also used for classification purposes. Statistica uses for classification of the measured data algorithms of the artificial intelligence as well. Basically this project’s aim is to substitute Statistica programme by application developed in C#.

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Krejcar, O. (2011). Utilization of C# Neural Networks Library in Industry Applications. In: Yonazi, J.J., Sedoyeka, E., Ariwa, E., El-Qawasmeh, E. (eds) e-Technologies and Networks for Development. ICeND 2011. Communications in Computer and Information Science, vol 171. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22729-5_6

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  • DOI: https://doi.org/10.1007/978-3-642-22729-5_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22728-8

  • Online ISBN: 978-3-642-22729-5

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