The combined use of wavelet transform and black box models in reservoir inflow modeling Cover

.blurhash-client-img { display: none !important; }

The combined use of wavelet transform and black box models in reservoir inflow modeling

Journal of Hydrology and Hydromechanics

Volume 61 (2013): Issue 2 (June 2013)

By: Umut Okkan and Zafer Ali Serbes

Open Access

|Jun 2013

Metrics

DOI: https://doi.org/10.2478/johh-2013-0015 | Journal eISSN: 1338-4333 | Journal ISSN: 0042-790X

Journal RSS Feed

Language: English

Page range: 112 - 119

Published on: Jun 1, 2013

Published by: Slovak Academy of Sciences, Institute of Hydrology

In partnership with: Paradigm Publishing Services

Publication frequency: 4 issues per year

Keywords:

Discrete wavelet transform,

Mallows’ Cp method,

Multiple linear regression,

Feed forward neural networks,

Least squares support vector machines,

Reservoir inflow modeling

Related subjects:

Introductions and overviews,

Engineering, other

© 2013 Umut Okkan, Zafer Ali Serbes, published by Slovak Academy of Sciences, Institute of Hydrology
This work is licensed under the Creative Commons License.

Previous article Volume 61 (2013): Issue 2 (June 2013)Next article