Fully automated learning and predict price of aquatic products in Taiwan wholesale markets using multiple machine learning and deep learning methods-Reference-Cited by-同舟云学术

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Fully automated learning and predict price of aquatic products in Taiwan wholesale markets using multiple machine learning and deep learning methods

Published:2024-05 Issue: Volume:586 Page:740741
ISSN:0044-8486
Container-title:Aquaculture
language:en
Short-container-title:Aquaculture

Author:

Lai Yi-Ting,Peng Yan-Tsung,Lien Wei-Cheng,Cheng Yun-Chiao,Lin Yi-Ting,Liao Chen-Jie,Chiu Yu-Shao

Funder

Qualcomm Inc

National Science and Technology Council

Ming Chi University of Technology

Publisher

Elsevier BV

Reference40 articles.

1. Global aquaculture productivity, environmental sustainability, and climate change adaptability;Ahmed;Environ. Manag.,2019

2. Price formation of the salmon aquaculture futures market;Ankamah-Yeboah;Aquac. Econ. Manag.,2017

3. Recognize fish as food in policy discourse and development funding;Bennett;Ambio,2021

4. Short-term salmon price forecasting;Bloznelis;J. Forecast.,2018

5. The Beijing perspective: the political and diplomatic context for Taiwan and the world health assembly;Brown;Int. J. Taiwan Stud.,2020

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1. Simulation and prediction study based on Lotka-Volterra model and grey neural network;Third International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024);2024-07-05

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