Comparative Study of ANNs versus Parametric Methods in Rainfall Frequency Analysis-Reference-Cited by-同舟云学术

Comparative Study of ANNs versus Parametric Methods in Rainfall Frequency Analysis

Published:2009-02 Issue:2 Volume:14 Page:172-184
ISSN:1084-0699
Container-title:Journal of Hydrologic Engineering
language:en
Short-container-title:J. Hydrol. Eng.

Author:

He Jianxun¹²,Valeo Caterina¹²

Affiliation:

1. Graduate Student, Dept. of Civil Engineering, Schulich School of Engineering, Univ. of Calgary, 2500 University Dr. NW, Calgary, AB, Canada T2N 1N4.

2. Associate Professor, Dept. of Civil Engineering, Schulich School of Engineering, Univ. of Calgary, 2500 University Dr. NW, Calgary, AB, Canada T2N 1N4 (corresponding author).

Publisher

American Society of Civil Engineers (ASCE)

Subject

General Environmental Science,Water Science and Technology,Civil and Structural Engineering,Environmental Chemistry

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%291084-0699%282009%2914%3A2%28172%29

Reference39 articles.

1. Precipitation Trends on the Canadian Prairies*

2. Neural Computing Architectures

3. A fully probabilistic approach to extreme rainfall modeling

4. Hydrological modelling using artificial neural networks

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