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Based on the limbic system theory of mammalian emotional brain, supervised brain emotional learning-based pattern recognizer (BELPR) has been recently proposed for multi-input and multi-output classification problems. It offers features like: decreased time and spatial complexity, faster training and higher accuracy. BELPR has been deployed to classify a number of benchmark datasets and has demonstrated...
Adaptive decayed brain emotional learning (ADBEL) network is recently proposed for the online time series forecasting problems. As opposed to other popular learning networks, such as multilayer perceptron, adaptive neuro-fuzzy inference system, and locally linear neuro-fuzzy model, ADBEL network offers lower computational complexity and fast learning, which make it an ideal candidate for the time...
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