A comparative study of artificial neural networks, Bayesian neural networks and adaptive neuro-fuzzy inference system in groundwater level prediction

Title
A comparative study of artificial neural networks, Bayesian neural networks and adaptive neuro-fuzzy inference system in groundwater level prediction
Authors
Keywords
Multi-layer perceptron, Bayesian neural networks, Automatic relevance determination, Fuzzy inference systems, Time series modeling, Groundwater table
Journal
Environmental Earth Sciences
Volume 71, Issue 7, Pages 3147-3160
Publisher
Springer Nature
Online
2013-08-08
DOI
10.1007/s12665-013-2702-7

Ask authors/readers for more resources

Reprint

Contact the author

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search