Self Organizing Maps 1st Edition by Teuvo Kohonen ISBN 3642976107 9783642976100 by George K. Matsopoulos (editors) 9789533070 instant download after payment.

Self Organizing Maps 1st Edition by Teuvo Kohonen - Ebook PDF Instant Download/Delivery: 3642976107, 9783642976100

Full download Self Organizing Maps 1st Edition after payment

Product details:

ISBN 10: 3642976107

ISBN 13: 9783642976100 

Author: Teuvo Kohonen

The book we have at hand is the fourth monograph I wrote for Springer Verlag. The previous one named "Self-Organization and Associative Mem ory" (Springer Series in Information Sciences, Volume 8) came out in 1984. Since then the self-organizing neural-network algorithms called SOM and LVQ have become very popular, as can be seen from the many works re viewed in Chap. 9. The new results obtained in the past ten years or so have warranted a new monograph. Over these years I have also answered lots of questions; they have influenced the contents of the present book. I hope it would be of some interest and help to the readers if I now first very briefly describe the various phases that led to my present SOM research, and the reasons underlying each new step. I became interested in neural networks around 1960, but could not in terrupt my graduate studies in physics. After I was appointed Professor of Electronics in 1965, it still took some years to organize teaching at the uni versity. In 1968 - 69 I was on leave at the University of Washington, and D. Gabor had just published his convolution-correlation model of autoasso ciative memory. I noticed immediately that there was something not quite right about it: the capacity was very poor and the inherent noise and crosstalk were intolerable. In 1970 I therefore sugge~ted the auto associative correlation matrix memory model, at the same time as J.A. Anderson and K. Nakano.

Table of contents:

1. Front Matter

2. Mathematical Preliminaries

3. Justification of Neural Modeling

4. The Basic SOM

5. Physiological Interpretation of SOM

6. Variants of SOM

7. Learning Vector Quantization

8. Applications

9. Hardware for SOM

10. An Overview of SOM Literature

11. Glossary of “Neural” Terms

12. Back Matter

People also search for:

    
self organizing maps
    
the self organizing maps can be considered as
    
teuvo kohonen self organizing maps
    
self organizing maps python
    
self organizing maps in r
    
self organizing maps vs k means

Tags: Teuvo Kohonen, Self, Organizing, Maps