Time Series Forecast Model Application for Broiler Weight Prediction using Environmental Factors
Author:
Affiliation:
1. Riga Technical University,Department of Artificial Intelligence and Systems Engineering,Riga,Latvia
2. University of Latvia,Department of Economics,Riga,Latvia
3. Datorzinibu centrs,Riga,Latvia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9987724/9987729/09988243.pdf?arnumber=9988243
Reference21 articles.
1. Introduction to Evolutionary Computing
2. Robustness of LSTM neural networks for multi-step forecasting of chaotic time series
3. Deep learning: RNNs and LSTM
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1. Application of Machine Learning Algorithms for On-Farm Monitoring and Prediction of Broilers’ Live Weight: A Quantitative Study Based on Body Weight Data;Agriculture;2023-11-23
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