Short Term Price Forecasting of Horticultural Crops Using Long Short Term Memory Neural Network-Reference-Cited by-同舟云学术

Short Term Price Forecasting of Horticultural Crops Using Long Short Term Memory Neural Network

Published:2020 Issue: Volume: Page:111-118
ISSN:2662-3447
Container-title:Learning and Analytics in Intelligent Systems
language:
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Author:

Prakash N.,Sumaiya Farzana G.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-46943-6_12

Reference11 articles.

1. T. Shahwan, M. Odening, Forecasting agricultural commodity prices using hybrid neural networks, in International Conference on Computational Intelligence in Economics and Finance (2007), pp. 63–74

2. H. Wu, M. Zhu, W. Chen, W. Chen, A new method of large-scale short-term forecasting of agricultural commodity prices. Illustrated by the case of agricultural markets in Beijing. J. Bigdata 2–22 (2017)

3. Y. Yu, H. Zhou, J. Fu, Research on agricultural product price forecasting model based on improved BP neural network. J. Ambient Intell. Hum. Comput. 1–6 (2018)

4. G.-Q. Li, S.-W. Xu, Z.-M. Li, Short-Term price forecasting for agro-products using artificial neural networks, in International Conference on Agricultural Risk and Food Security (2010), pp. 278–287

5. A. Amarender Reddy, Price forecasting of Tomatoes. Int. J. Veg. Sci. 1–9 (2018)

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