Use of Model Tree and Gene Expression Programming to Predict the Suspended Sediment Load in Rivers

M. Janga Reddy,; Bhola N. S. Ghimire,

doi:10.1515/JISYS.2009.18.3.211

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Use of Model Tree and Gene Expression Programming to Predict the Suspended Sediment Load in Rivers

M. Janga Reddy, and Bhola N. S. Ghimire,

Published/Copyright: September 1, 2009

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From the journal Journal of Intelligent Systems Volume 18 Issue 3

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APA
Harvard
Chicago
Vancouver

Reddy,, M. Janga and Ghimire,, Bhola N. S.. "Use of Model Tree and Gene Expression Programming to Predict the Suspended Sediment Load in Rivers" Journal of Intelligent Systems, vol. 18, no. 3, 2009, pp. 211-228. https://doi.org/10.1515/JISYS.2009.18.3.211

Reddy,, M. & Ghimire,, B. (2009). Use of Model Tree and Gene Expression Programming to Predict the Suspended Sediment Load in Rivers. Journal of Intelligent Systems, 18(3), 211-228. https://doi.org/10.1515/JISYS.2009.18.3.211

Reddy,, M. and Ghimire,, B. (2009) Use of Model Tree and Gene Expression Programming to Predict the Suspended Sediment Load in Rivers. Journal of Intelligent Systems, Vol. 18 (Issue 3), pp. 211-228. https://doi.org/10.1515/JISYS.2009.18.3.211

Reddy,, M. Janga and Ghimire,, Bhola N. S.. "Use of Model Tree and Gene Expression Programming to Predict the Suspended Sediment Load in Rivers" Journal of Intelligent Systems 18, no. 3 (2009): 211-228. https://doi.org/10.1515/JISYS.2009.18.3.211

Reddy, M, Ghimire, B. Use of Model Tree and Gene Expression Programming to Predict the Suspended Sediment Load in Rivers. Journal of Intelligent Systems. 2009;18(3): 211-228. https://doi.org/10.1515/JISYS.2009.18.3.211

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Published Online: 2009-09

Articles in the same Issue

CONTENTS
Constrained Statistical Decisions in Evolving Environments
Data Mining for Evolving Fuzzy Association Rules for Predicting Monsoon Rainfall of India
Use of Model Tree and Gene Expression Programming to Predict the Suspended Sediment Load in Rivers
A Hybrid Clustering Approach for Network Intrusion Detection Using Cobweb and FFT
Recognition of Visual Evoked Potential Responses Containing Cognitive Component (P300) using Reflex Fuzzy Min-Max Neural Network

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Articles in the same Issue

CONTENTS
Constrained Statistical Decisions in Evolving Environments
Data Mining for Evolving Fuzzy Association Rules for Predicting Monsoon Rainfall of India
Use of Model Tree and Gene Expression Programming to Predict the Suspended Sediment Load in Rivers
A Hybrid Clustering Approach for Network Intrusion Detection Using Cobweb and FFT
Recognition of Visual Evoked Potential Responses Containing Cognitive Component (P300) using Reflex Fuzzy Min-Max Neural Network