A Simulation and analysis of DSR Protocol in Mobile ad hoc Networks

Abstract: Support Vector Regression (SVR), a category for Support Vector Machine (SVM) attempts to minimize the generalization error bound so as to achieve generalized performance. Regression is that of finding a function which approximates mapping from an input domain to the real numbers on the basis of a training sample. Support vector regression is the natural extension of large margin kernel methods used for classification to regression analysis. On account of steady increase in paper demand, the forecast on demand and supply of pulp wood is considered to improve the socio economic development of India.

Keywords: Support Vector Regression (SVR), Support Vector Machine (SVM), regression, kernel, pulp woodI