A comparison of the performance of some extreme learning machine empirical models for predicting daily horizontal diffuse solar radiation in a region of southern Iran-Reference-Cited by-同舟云学术

A comparison of the performance of some extreme learning machine empirical models for predicting daily horizontal diffuse solar radiation in a region of southern Iran

Published:2017-08-20 Issue:23 Volume:38 Page:6894-6909
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Hosseini Nazhad Seyed Hossein¹,Lotfinejad Mohammad Mehdi²,Danesh Malihe³,ul Amin Rooh⁴,Shamshirband Shahaboddin⁵⁶

Affiliation:

1. Department of Computer Engineering, Ahar Branch, Islamic Azad University, Ahar, Iran

2. Department of Computer Engineering and Information Technology, Payame Noor University (PNU), Tehran, Iran

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

4. School of Automation, Northwestern Polytechnical University, Xi’an, PR China

5. Department for Management of Science and Technology Development, Ton Duc Thang University, Ho Chi Minh City, Vietnam

6. Faculty of Information Technology, Ton Duc Thang University, Ho Chi Minh City, Vietnam

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2017.1368098

Reference52 articles.

1. Assessment of diffuse solar energy under general sky condition using artificial neural network

2. Precision requirements for single-layer feedforward neural networks

3. Rainfall Runoff Modelling Based on Genetic Programming

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