Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/20865
Title: New self-organizing algorithms for topological maps
Authors: Xu, Pengfei
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Issue Date: 2006
Source: Xu, P. (2006). New self-organizing algorithms for topological maps. Doctoral thesis, Nanyang Technological University, Singapore.
Abstract: Self-organizing Maps (SOM) were developed by Kohonen in late 1980's in response to the growing amount of large data sets required to represent a problem for thorough analysis with standard tools and techniques. SOMs are widely used in many applications including machine vision and image analysis, speech analysis and recognition, robotics, telecommunications, signal processing and radar measurement, process control, and so on. Despite their popularity in engineering applications and statistical data analysis, the basic SOM and its variants possess some intrinsic weaknesses that limit their dominance in traditional and contemporary learning tasks such as clustering, classification and density estimation.
URI: https://hdl.handle.net/10356/20865
DOI: 10.32657/10356/20865
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

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