Abstract
The use of feedforward multilayer artificial neural network to detect European starling in vineyards is presented in this paper. In the first paragraphs, the idea of whole system is outlined. Then, the method of detection is described and demonstrated, the process of neural network design is illustrated and, in the end, the neural network is validated.
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Acknowledgments
The work has been supported by the funds of the IGA, University of Pardubice, Czech Republic, project number SGSFEI2015006. This support is very gratefully acknowledged. In addition, this article was published within the sustainability of the project “Support of short term attachments and skilful activities for innovation of tertiary education at the Jan Perner Transport Faculty and Faculty of Electrical Engineering and Informatics, University of Pardubice, registration no. CZ.1.07/2.4.00/17.0107”.
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Dolezel, P., Mariska, M. (2015). Neural Networks and Linear Predictive Coding Coefficients Used for European Starling Detection in Vineyards. In: Herrero, Á., Sedano, J., Baruque, B., Quintián, H., Corchado, E. (eds) 10th International Conference on Soft Computing Models in Industrial and Environmental Applications. Advances in Intelligent Systems and Computing, vol 368. Springer, Cham. https://doi.org/10.1007/978-3-319-19719-7_8
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DOI: https://doi.org/10.1007/978-3-319-19719-7_8
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