The Online Soft Computing Models of key variables based on the Boundary Forest method
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DOI: 10.1007/s00500-019-04584-1
Abstract: The Online Soft Computing Models (OSCMs) based on ensemble methods are novel and quite effective data-driven tools for predicting key variables. The current challenge encountered by them is how to enhance the reliability caused by… read more here.
Keywords: based boundary; online soft; boundary forest; soft computing ... See more keywords
Predicting lake wave height based on regression classification and multi input–single output soft computing models
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DOI: 10.1007/s12517-020-05498-1
Abstract: This study presents multi input–single output (MISO) soft computing models for forecasting the significant wave height (Hs) of lakes and investigates the impact of input variables for designing the prediction models. Wind direction and speed,… read more here.
Keywords: regression; computing models; soft computing; multi input ... See more keywords
Improving stream flow estimation by incorporating time delay approach in soft computing models
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DOI: 10.1080/09715010.2019.1676171
Abstract: ABSTRACTIn the present study, Artificial Neural Networks (ANNs) and Genetic Programming (GP) soft-computing models were established to estimate streamflow in Tel River Basin, Odisha, India. In most... read more here.
Keywords: flow estimation; stream flow; estimation incorporating; improving stream ... See more keywords