Univariate modelling of monthly maximum temperature time series over northeast India: neural network versus Yule–Walker equation based approach

By Surajit Chattopadhyay, D. Jhajharia, Goutami Chattopadhyay. 2011

65 citations recorded by the source corpus.

Subfields: Atmospheric Science, Environmental Engineering, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/b954e8d81d55ecff431c3577d2160453b26d7135

How researchers see this paper

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

In Atmospheric Science

1. Hadi Sanikhani
2. Ozgur Kisi

In Environmental Engineering

1. Hadi Sanikhani
2. Ozgur Kisi
3. Jan Adamowski
4. Kwok-Wing Chau
5. Masoud Karbasi
6. Ravinesh C. Deo
7. Mohammad Zounemat‐Kermani
8. C. Wu

In Global and Planetary Change

1. Hadi Sanikhani
2. Ozgur Kisi
3. Masoud Karbasi
4. Hossein Bonakdari
5. Babak Mohammadi
6. Babak Jahani
7. A. Zaji

Citations in the corpus

• Modelling long‐term monthly temperatures by several data‐driven methods using geographical inputs (2015, methodology): “Chattopadhyay et al. (2011) used ANN and Yule–Walker equation-based approach for univariate modelling of monthly maximum temperature time series over northeast India.”