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@inbook{61481, author = {Vrbka, Jaromír}, address = {Cham, Švýcarsko}, booktitle = {Using artificial neural networks for timeseries smoothing and forecasting: case studies in economics}, edition = {1. vyd.}, editor = {Janusz Kacrpzyk}, keywords = {Radial Basis Function Neural Networks; Multilayer Perceptron Neural Networks; Long Short Term Memory Neural Networks}, howpublished = {tištěná verze "print"}, language = {eng}, location = {Cham, Švýcarsko}, isbn = {978-3-030-75648-2}, pages = {35-136}, publisher = {Springer Nature Switzerland AG}, title = {Artificial Neural Networks - selected models}, url = {https://link.springer.com/book/10.1007%2F978-3-030-75649-9#authorsandaffiliationsbook}, year = {2021} }
TY - CHAP ID - 61481 AU - Vrbka, Jaromír PY - 2021 TI - Artificial Neural Networks - selected models VL - Studies in computational intelligence (979) PB - Springer Nature Switzerland AG CY - Cham, Švýcarsko SN - 9783030756482 KW - Radial Basis Function Neural Networks KW - Multilayer Perceptron Neural Networks KW - Long Short Term Memory Neural Networks UR - https://link.springer.com/book/10.1007%2F978-3-030-75649-9#authorsandaffiliationsbook N2 - The author argues that there is no doubt that artificial neural networks have been attracting the attention of a large number of scientists, experts and the uninitiated from all over the world for many years ER -
VRBKA, Jaromír. Artificial Neural Networks - selected models. In Janusz Kacrpzyk. \textit{Using artificial neural networks for timeseries smoothing and forecasting: case studies in economics}. 1. vyd. Cham, Švýcarsko: Springer Nature Switzerland AG, 2021, p.~35-136. Studies in computational intelligence (979). ISBN~978-3-030-75648-2.
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