@article{(Open Science Index):https://publications.waset.org/pdf/10002785,
	  title     = {Predicting Bridge Pier Scour Depth with SVM},
	  author    = {Arun Goel},
	  country	= {},
	  institution	= {},
	  abstract     = {Prediction of maximum local scour is necessary for
the safety and economical design of the bridges. A number of
equations have been developed over the years to predict local scour
depth using laboratory data and a few pier equations have also been
proposed using field data. Most of these equations are empirical in
nature as indicated by the past publications. In this paper attempts
have been made to compute local depth of scour around bridge pier in
dimensional and non-dimensional form by using linear regression,
simple regression and SVM (Poly & Rbf) techniques along with few
conventional empirical equations. The outcome of this study suggests
that the SVM (Poly & Rbf) based modeling can be employed as an
alternate to linear regression, simple regression and the conventional
empirical equations in predicting scour depth of bridge piers. The
results of present study on the basis of non-dimensional form of
bridge pier scour indicate the improvement in the performance of
SVM (Poly & Rbf) in comparison to dimensional form of scour.},
	    journal   = {International Journal of Civil and Environmental Engineering},
	  volume    = {9},
	  number    = {2},
	  year      = {2015},
	  pages     = {211 - 216},
	  ee        = {https://publications.waset.org/pdf/10002785},
	  url   	= {https://publications.waset.org/vol/98},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 98, 2015},
	}