Rong-Ho Lin

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Keywords: Support vector regression (SVR) Hybrid genetic algorithm (HGA) Parameter optimization Kernel function optimization Electrical load forecasting Forecasting accuracy a b s t r a c t This study developed a novel model, HGA-SVR, for type of kernel function and kernel parameter value optimization in support vector regression (SVR), which is then(More)
The prediction of business failure is an important and challenging issue that has served as the impetus for many academic studies over the past three decades. The widely applied methods to predict the risk of business failure were the classic statistical methods, data mining and machine learning techniques. Case Based-Reasoning (CBR) is an inductive machine(More)
The symptoms of liver diseases are not apparent in the initial stage, and the condition is usually quite serious when the symptoms are obvious enough. Most studies on liver disease diagnosis focus mainly on identifying the presence of liver disease in a patient. Not many diagnosis models have been developed to move beyond the detection of liver disease. The(More)