Determination of support vector regression parameters using African buffalo optimization algorithm

<span lang="EN-US">The use of support vector regression (SVR) for tasks has been on increase over the past few years. Unfortunately, practical application SVR task is limited due to its dependence proper setting hyper-parameters and associated kernel parameter. Therefore, it become imperative device a reliable fast mechanism determining value these parameters that could guarantee lowest generalization error. This paper presents parameter optimization approaches using African buffalo optimisation (ABO) algorithm, i.e. SVR-ABO. The are optimized by algorithm. Results obtained from several experiments performed shown proposed ABO algorithm capability which most time be done through estimation.</span>