Inductive Group Method of Data Handling Neural Network Approach to Model Basin Sediment Yield-Reference-Cited by-同舟云学术

Inductive Group Method of Data Handling Neural Network Approach to Model Basin Sediment Yield

Published:2015-06 Issue:6 Volume:20 Page:
ISSN:1084-0699
Container-title:Journal of Hydrologic Engineering
language:en
Short-container-title:J. Hydrol. Eng.

Author:

Garg Vaibhav¹

Affiliation:

1. Scientist and Engineer, Water Resources Dept., Indian Institute of Remote Sensing, Indian Space Research Organisation, Dept. of Space, Government of India, 4, Kalidas Rd., Dehradun, Uttarakhand 248 001, India.

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%29HE.1943-5584.0001085

Reference58 articles.

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4. Ardalan H. Eslami A. and Nariman-Zadeh N. (2009). “Piles shaft capacity from CPT and CPTu data by polynomial neural networks and genetic algorithms.” Comput. Geotech. 36(4) 616–625.

5. Artificial Neural Networks in Hydrology. I: Preliminary Concepts

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