المؤلفون: S. V. Sholtanyuk

المصدر: Цифровая трансформация, Vol 0, Iss 2, Pp 60-68 (2019)

مصطلحات موضوعية: neural network, training of neural network, hyperparameters, forecasting accuracy and stability, mae, linear regression, autoregression, ordinary least squares, Information technology, T58.5-58.64

وصف الملف: electronic resource

Relation: https://dt.bsuir.by/jour/article/view/174; https://doaj.org/toc/2522-9613; https://doaj.org/toc/2524-2822

URL الوصول: https://doaj.org/article/e8f5f4976be74e11bffd84007be872eb

المؤلفون: S. Sholtanyuk

المصدر: Цифровая трансформация, Vol 0, Iss 2, Pp 60-68 (2019)

مصطلحات موضوعية: neural network, Computer science, Computer Science::Neural and Evolutionary Computation, Stability (learning theory), Information technology, 02 engineering and technology, ordinary least squares, Machine learning, computer.software_genre, mae, 01 natural sciences, 010309 optics, forecasting accuracy and stability, Linear regression, 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, Time series, training of neural network, Hyperparameter, Quantitative Biology::Neurons and Cognition, Artificial neural network, Series (mathematics), autoregression, business.industry, Regression analysis, T58.5-58.64, hyperparameters, Computer Graphics and Computer-Aided Design, Recurrent neural network, Autoregressive model, Ordinary least squares, Pattern recognition (psychology), linear regression, 020201 artificial intelligence & image processing, Computer Vision and Pattern Recognition, Artificial intelligence, business, computer

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::39e5561c5be67eba52be80423fb90ec4
https://doi.org/10.1134/s1054661820010137