MultiLearner based recursive supervised training

• Main Authors: RAMANATHAN, Kiruthika, GUAN, Sheng Uei, IYER, Laxmi R.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2006
• Subjects: Neural Networks; Supervised Learning; Probabilistic Neural Networks (PNN); Backpropagation; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/7393; https://ink.library.smu.edu.sg/context/sis_research/article/8396/viewcontent/Multi_Learner_based_Recursive_Supervised_Training.pdf
• Institution: Singapore Management University

In supervised learning, most single solution neural networks such as constructive backpropagation give good results when used with some datasets but not with others. Others such as probabilistic neural networks (PNN) fit a curve to perfection but need to be manually tuned in the case of noisy data....