Combining BPANN and wavelet analysis to simulate hydro-climatic processes—a case study of the Kaidu River, North-west China

Title
Combining BPANN and wavelet analysis to simulate hydro-climatic processes—a case study of the Kaidu River, North-west China
Authors
Keywords
hydro-climatic process, Kaidu River, simulation, wavelet analysis (WA), back-propagation artificial neural network (BPANN), multiple linear regression (MLR)
Journal
Frontiers of Earth Science
Volume 7, Issue 2, Pages 227-237
Publisher
Springer Nature
Online
2013-02-23
DOI
10.1007/s11707-013-0354-2

Ask authors/readers for more resources

Reprint

Contact the author

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started