Learning by supervised clustering and matching

• Main Authors: TAN, Ah-hwee, TEOW, Loo-Nin
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 1995
• Subjects: Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/6827
• Institution: Singapore Management University

This article presents a procedure for a class of neural networks, known as neural logic networks, to learn multidimensional mapping of both binary and analog data. The procedure, termed supervised clustering and matching (SCM), provides a means of deducing inductive knowledge from training cases. In...