An integrated approach based on artificial intelligence and novel meta-heuristic algorithms to predict demand for dairy products: a case study-Reference-Cited by-同舟云学术

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An integrated approach based on artificial intelligence and novel meta-heuristic algorithms to predict demand for dairy products: a case study

Published:2021-01-02 Issue:1 Volume:32 Page:1-35
ISSN:0954-898X
Container-title:Network: Computation in Neural Systems
language:en
Short-container-title:Network: Computation in Neural Systems

Author:

Goli Alireza¹^ORCID,Khademi-Zare Hasan¹,Tavakkoli-Moghaddam Reza²^ORCID,Sadeghieh Ahmad¹,Sasanian Mazyar³,Malekalipour Kordestanizadeh Ramina⁴

Affiliation:

1. Department of Industrial Engineering, Yazd University, Saffayieh, Iran

2. School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran

3. Department of Industrial Engineering, Mazandaran University of Science and Technology, Mazandaran, Iran

4. Department of Industrial Engineering, Najafabad Branch, Islamic Azad University, Isfahan, Iran

Publisher

Informa UK Limited

Subject

Neuroscience (miscellaneous)

Link

https://www.tandfonline.com/doi/pdf/10.1080/0954898X.2020.1849841

Reference55 articles.

1. Univariate modeling and forecasting of monthly energy demand time series using abductive and neural networks

2. Solar energy forecasting based on hybrid neural network and improved metaheuristic algorithm

3. Adankon MM, Cheriet M. 2009. Support vector machine. In: Li SZ, Jain AK, editors. Encyclopedia of biometrics. Springer; p. 1303–1308.

4. Location, Allocation and Routing of Temporary Health Centers in Rural Areas in Crisis, Solved by Improved Harmony Search Algorithm

5. Two-phase particle swarm optimized-support vector regression hybrid model integrated with improved empirical mode decomposition with adaptive noise for multiple-horizon electricity demand forecasting

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