Authors:
- First book focusing on efficient adaptive pulse coupled neural networks
- New spiking cortical models proposed and analysis on their behaviors
- Comprehensive and systematical introduction to pulse coupled neural networks
- Robust and novel application examples on image processing
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Table of contents (9 chapters)
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Front Matter
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Back Matter
About this book
Reviews
From the reviews:
“Pulse-coupled neural networks (PCNNs) are based on the nervous system in the eyes of humans and mammals. The book describes various models of PCNNs, and related image processing algorithms. … This book could serve as a textbook on PCNNs. … Each algorithm features not only the flow of the algorithm, but also a detailed empirical analysis. The book has a very large number of references for researchers.” (Maulik A. Dave, ACM Computing Reviews, August, 2012)
Authors and Affiliations
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School of Information Science and Engineering, Lanzhou University, Gansu, P. R. China
Yide Ma, Kun Zhan, Zhaobin Wang
Bibliographic Information
Book Title: Applications of Pulse-Coupled Neural Networks
Authors: Yide Ma, Kun Zhan, Zhaobin Wang
DOI: https://doi.org/10.1007/978-3-642-13745-7
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2010
Hardcover ISBN: 978-3-642-13744-0Published: 04 January 2011
eBook ISBN: 978-3-642-13745-7Published: 02 September 2011
Edition Number: 1
Number of Pages: XI, 199
Additional Information: Jointly published with Higher Education Press
Topics: Image Processing and Computer Vision, Signal, Image and Speech Processing, Pattern Recognition, Artificial Intelligence, Electrical Engineering, Computer Science, general