Fruit Market Trend Forecast Using Kmeans-based Deep Learning Models-Reference-Cited by-同舟云学术

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Fruit Market Trend Forecast Using Kmeans-based Deep Learning Models

Published:2019-10 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE 10th International Conference on Software Engineering and Service Science (ICSESS)
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Author:

Fang Yongming,Min Xiaoping,Zheng Ling,Zhang Defu

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9031628/9040681/09040838.pdf?arnumber=9040838

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. “A Novel Software for Fruit Price Prediction Using Machine Learning”;ICT Analysis and Applications;2023

2. The Performance Evaluation of K-Means and Agglomerative Hierarchical Clustering for Rainfall Patterns and Modelling;2022 6th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE);2022-12-13

3. Lightweight silkworm recognition based on Multi-scale feature fusion;Computers and Electronics in Agriculture;2022-09

4. Regression Based Price Prediction of Staple Food Materials Using Multivariate Models;Scientific Programming;2022-06-13

5. Onion Price Prediction Using Machine Learning Approaches;Proceedings of International Conference on Computational Intelligence and Data Engineering;2022

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