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Applying associative forecasting methods for economic analysis of poultry production activity
シミュレーションと機械学習の融合活用による養鶏業生産活動の経済性分析
2021
シミュレーションと機械学習の融合活用による養鶏業生産活動の経済性分析
In this study, associative forecasting methods, machine learning and simulation technology, are presented for economic analysis of poultry productions activity. First, machine learning models are applied to forecast egg trade prices between poultry farms and egg dealers based on historical data of both trade prices, poultry number and amounts of foreign egg imported. Then, data driven simulation models are presented for forecasts of the output of poultry production activity, including
doi:10.20627/jsimconf.81.0_35
fatcat:w5z5mnyeobb2hfdto3f3n7oj2e