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A Study on Pork Price Prediction Using LSTM
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LSTM을 이용한 돼지고기 가격 예측 연구

논문 기본 정보

Type
Academic journal
Author
Kim Dong Hyun (전북대학교) Kim Su Hyeon (전북대학교) Chanju Yu (전북대학교)
Journal
한국농식품정책학회(구 농업정책학회) 농업경영.정책연구 농업경영.정책연구 제48권 제4호 KCI Accredited Journals
Published
2021.12
Pages
593 - 612 (20page)

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A Study on Pork Price Prediction Using LSTM
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Abstract· Keywords

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In this study, we propose LSTM, a technique for predicting pork prices to stabilize the supply and demand of pork. The LSTM model is trained using the attributes of day and month as additional inputs to historical time series data. The performance of the proposed LSTM model was compared to that of ARIMA, SARIMA, autoARIMA, and standard LSTM in terms of three performance metrics: mean absolute error (MAE), root mean squared error (RMSE), and mean absolute percentage error (MAPE). As a result of the experiment, the error rate of the proposed LSTM model was significantly lower than that of other existing methods. In future research, it will be necessary to redefine the analysis of causal relationships such as livestock substitutes and supplements, and to conduct practical studies such as linking OpenAPI with big data of public institutions to improve the accuracy of price prediction.
#Time series Prediction #Deep-Learning #ARIMA #SARIMA #autoARIMA #LSTM

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References (19)

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강태훈 / 2011 / 축산물 가격의 비대칭전이에 관한 실증연구 / 식품유통연구 28(2):67~83 dbpia 박현태 / 2002 / 채소종자의 시장동향과 수출 활성화 방안 / 농촌경제 25(2):1~19 google schola 김경진 / 2020 / GARCH와 LSTM 모형을 이용한 수입육 가격 변동성 예측력 비교 google schola 김범준 / 2019 / 한우의 가격, 물가, 도매시장에 관한 연구 google schola 김원태 Kim, Won-Tae / 2017 / 음성 공판장과 제주축협 공판장 돼지 탕박 도매가격의 동태적 인과성 분석 / 농업경영.정책연구 44(1):22~43 google schola

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