Recursive pattern based hybrid supervised training

• Main Authors: RAMANATHAN, Kiruthika, GUAN, Sheng Uei
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2008
• Subjects: Genetic Algorithm; Gradient Descent; Training Time; Task Decomposition; Generalization Accuracy; Artificial Intelligence and Robotics; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/7388; https://ink.library.smu.edu.sg/context/sis_research/article/8391/viewcontent/Recursive_pattern_based_hybrid_supervised_training.pdf
• Institution: Singapore Management University

We propose, theorize and implement the Recursive Pattern-based Hybrid Supervised (RPHS) learning algorithm. The algorithm makes use of the concept of pseudo global optimal solutions to evolve a set of neural networks, each of which can solve correctly a subset of patterns. The pattern-based algorith...