Comparison between linear genetic programming and M5 tree models to predict flow discharge in compound channels
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/content/pdf/10.1007/s00521-012-1247-0.pdf
Reference47 articles.
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2. Azamathulla HM, Zahiri A (2012) Flow discharge prediction in compound channels using linear genetic programming. J Hydrol 454–455C:203–207
3. Bhattacharya B, Solomatine DP (2005) Neural networks and M5 model trees in modeling water level–discharge relationship. NeuroComputing 63:381–396
4. Bhattacharya B, Price RK, Solomatine DP (2007) Machine learning approach to modeling sediment transport. J Hydraul Eng 133(4):440–450
5. Blalock ME, Sturm TW (1981) Minimum specific energy in compound channel. J Hydraul Div ASCE 107:699–717
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