A Fuzzy Brain Emotional Learning Classifier Design and Application in Medical Diagnosis
Acta Polytechnica Hungarica · 2019
This paper aims to propose a fuzzy brain emotional learning classifier and applies it to medical diagnosis.To improve the generalization and learning ability, this classifier is combined with a fuzzy inference system and a brain emotional learning model.Meanwhile, different from a brain emotional learning controller, a novel definition of the reward signal is developed, which is more suitable for classification.In addition, a stable convergence is guaranteed by utilizing the Lyapunov stability theorem.Finally, the proposed method is applied for the leukemia classification and the diagnosis of heart disease.A comparison between the proposed method with other algorithms shows that this proposed classifier can be viewed as an efficient way to implement medical decision and diagnosis.