A comparative study between fuzzy linear regression and support vector regression for global solar radiation prediction in Iran

By Z. Ramedani, Mahmoud Omid, A. Keyhani, B. Khoshnevisan, Hadi Saboohi. 2014

81 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Electrical and Electronic Engineering, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/a1adc184d0dfd2e59e204dc18c049382086704b1

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Chong Wen Tong
2. Shahaboddin Shamshirband
3. Dalibor Petkovic
4. Kasra Mohammadi
5. Sudheer Ch
6. Muhammad Arif

In Electrical and Electronic Engineering

1. Shahaboddin Shamshirband
2. Sudheer Ch
3. Chong Wen Tong
4. Kasra Mohammadi

In Management Science and Operations Research

1. Shahaboddin Shamshirband

Citations in the corpus

• A new hybrid support vector machine–wavelet transform approach for estimation of horizontal global solar radiation (2015, background): “[33] performed a comparative investigation between fuzzy linear regression (FLR) and support vector regression (SVR) techniques to predict global solar radiation in Tehran, Iran.”