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| CrossRef Text and Data Mining |
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| Lactation milk yield prediction in primiparous cows on a farm using the seasonal auto-regressive integrated moving average model, nonlinear autoregressive exogenous artificial neural networks and Wood’s model |
| Wilhelm Grzesiak, Daniel Zaborski, Iwona Szatkowska, Katarzyna Królaczyk |
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Anim Biosci. 2021;34(4):770-782. Published online April 12, 2020 DOI: https://doi.org/10.5713/ajas.19.0939 |
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Lactation milk yield prediction in primiparous cows on a farm using the seasonal auto-regressive integrated moving average model, nonlinear autoregressive exogenous artificial neural networks and Wood’s model Animal Bioscience. 2021;34(4):770-782  The Forecasting of Renewable Energy Generation for Turkey by Artificial Neural Networks and a Auto-Regressive Integrated Moving-Average Model -2023 Generation Targets by Renewable Energy Resources . 2021; Application of a New Hybrid Model with Seasonal Auto-Regressive Integrated Moving Average (ARIMA) and Nonlinear Auto-Regressive Neural Network (NARNN) in Forecasting Incidence Cases of HFMD in Shenzhen, China PLoS ONE. 2014;9(6):e98241 Forecasting Rainfall in Mauritius using Seasonal Autoregressive Integrated Moving Average and Artificial Neural Networks Environmental Management and Sustainable Development. 2018;7(1):115 Improvement of Auto-Regressive Integrated Moving Average models using Fuzzy logic and Artificial Neural Networks (ANNs) Neurocomputing. 2009;72(4-6):956-967 A Seasonal Autoregressive Integrated Moving Average with Exogenous Factors (SARIMAX) Forecasting Model-Based Time Series Approach Inventions. 2022;7(4):94 Analysis Prediction of Prambanan Temple Visitors with Fuzzy Time Series Chen Model and Seasonal Auto Regressive Integrated Moving Average (SARIMA) Model Proceeding International Conference on Science and Engineering. 2020;3:359-363 The Performance of Grey Model and Auto-Regressive Integrated Moving Average for Human Resources Prediction in China 2019 IEEE International Conference on Computation, Communication and Engineering (ICCCE). 2019; Optimized Intelligent Auto-Regressive Neural Network Model (ARNN) for Prediction of Non-Linear Exogenous Signals . 2021; Sea Level Prediction by Using Seasonal Autoregressive Integrated Moving Average Model, Case Study in Semarang, Indonesia 2020 8th International Conference on Information and Communication Technology (ICoICT). 2020; |
