Forecasting Vegetable Price Prediction Using GC-Attention Based- LSTM Approach-Reference-Cited by-同舟云学术

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Forecasting Vegetable Price Prediction Using GC-Attention Based- LSTM Approach

Published:2023-10-18 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS)
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Author:

Yadav Sameer¹,Reddy K Santosh²,Marapelli Bhaskar³,Khan Bhola⁴,Suganthi D.⁵,Dhondiyal Shiv Ashish⁶

Affiliation:

1. University of Allahabad,Department of Commerce and Business Administration,Prayagraj,Uttar Pradesh,India

2. Vardhaman College of Engineering,Department of Mathematics,Shamshabad,Hyderabad,India

3. Koneru Lakshmaiah Education Foundation,Department of Computer Science and Information Technology,Guntur,Andhra Pradesh,India

4. MJP Rohilkhand University,Department of Regional Economics,Bareilly,Uttar Pradesh,India

5. Saveetha College of Liberal Arts and Sciences, SIMATS,Department of Computer Science,Thandalam, Chennai,India

6. Graphic Era Deemed to be University,Department of Computer, Science & Engineering,Dehradun,Uttarakhand,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10330805/10331621/10331677.pdf?arnumber=10331677

Reference24 articles.

1. Price Prediction of Share Market Using Artificial Neural Network 'ANN'

2. Alternative Forecasting Techniques for Vegetable Prices in Senegal;Dieng;Rev. senegalais Rech. Agric. agroallementalress,2008

3. Radial basis function model for vegetable price prediction

4. Applicability of arima models in wholesale vegetable market;Naidu;Int. J. Agric. Stat. Sci.,2015

5. Consumers' behaviors and concerns on fresh vegetable purchase and safety in Beijing urban areas, China

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