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A trimaran is a multihulled boat consisting of a main hull and two smaller outrigger hulls, attached to the main hull with lateral struts. There have been many studies highlighting that a trimaran takes many advantages over other types of hulls especially the roll performance, because of the greater resistance to rolling that the outrigger hulls offer. In order to study the rolling motion of a trimaran,...
PLS can effectively eliminate the multicolinearity among explanatory variables and LSSVM can reflect the nonlinear relations between dependent variable and explanatory variables. PLS and LSSVM are combined together. In PLS-LSSVM model, PLS is used to extract the independent components, then the extracted components is input to the LSSVM with radial basis kernel function for predicting. The LSSVM parameters...
The support vector machine is a powerful supervised learning algorithm that has been successfully applied to a plenty of fields including text and image recognition, medical diagnosis and so on. The kernel and its parameters optimization, formally known as model selection, is a crucial factor which influences a good tradeoff between bias and variance. To automate model selection of support vector...
We present a method of performing kernel space domain description of a dataset with incomplete entries without the need for imputation, allowing kernel features of a class of data with missing features to be rigorously described. This addresses the problem that absent data completion is usually required before kernel classifiers, such as support vector domain description (SVDD), can be applied; equally,...
The multiclass classification problem has been applied to build a decision function to separate a set of data points into multiple classes. To solve this problem, a number of methods have been developed by extending binary classifications to multiclass classification. However, researches on how to effectively combine multiple hyperplanes to make a decision function are in its early stage. This paper...
A novel LSSVM-ARX Hammerstein model structure is proposed for a continuous stirred tank reactor (CSTR). LSSVM with a radial basis function (RBF) kernel is used to represent the static nonlinear block in the Hammerstein model. The dynamic linear part of the model is realized by a linear autoregression model with exogenous input (ARX). The linear model parameters and the static nonlinearity can be obtained...
A new prediction model that combining the merits of support vector machine (SVM) and gray RBF neutral network is proposed in this paper. First apply structural risk minimization principle to optimize the modeling method of RBF neutral network, so that the radial basis centers and network weights could be acquired directly. Then use error compensator of RBF neutral network based on structural risk...
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