Self-Organizing Map Formation Foundations of Neural Computation
- List Price: $42.00
- Binding: Paperback
- Publisher: Mit Pr
- Publish date: 11/01/2001
Description:
This book provides an overview of self-organizing map formation, including recent developments. Self-organizing maps form a branch of unsupervised learning, which is the study of what can be determined about the statistical properties of input data without explicit feedback from a teacher. The articles are drawn from the journal Neural Computation.
Expand description
The book consists of five sections. The first section looks at attempts to model the organization of cortical maps and at the theory and applications of the related artificial neural network algorithms. The second section analyzes topographic maps and their formation via objective functions. The third section discusses cortical maps of stimulus features. The fourth section discusses self-organizing maps for unsupervised data analysis. The fifth section discusses extensions of self-organizing maps, including two surprising applications of mapping algorithms to standard computer science problems: combinatorial optimization and sorting.
Product notice
Returnable at the third party seller's discretion and may come without consumable supplements like access codes, CD's, or workbooks.
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