A Confidence-Based RBF Neural Network Ensemble Learning Paradigm with Application to Delinquent Prediction for Credit Risk Management
نویسندگان
چکیده
Neural network ensemble learning has been turned out to be an efficient strategy for achieving high performance, especially in fields where the development of a powerful single learning system requires considerable efforts (Lai et al., 2006, Yu et al., 2007, 2008b). Usually, neural network ensemble learning model outperforms the individual neural network models, whose performance is limited by the imperfection of feature extraction, learnaBStract
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