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Book Categories |
Mathematical Preliminaries.- Neural Modeling.- The Basic SOM.- Physiological Interpretation of SOM.- Variants of SOM.- Learning Vector Quantization.- Applications.- Software Tools for SOM.- Hardware for SOM.- An Overview of SOM Literature.- Glossary of "Neural" Terms.- References
| Price | Condition | Delivery | Seller | Action |
| $140.47 | Digital |
| WonderClub |
Brian Hewes
reviewed Self-Organizing Maps on February 09, 2017
Self-Organizing Maps
Most books about neural networks are silent when it comes to less obvious details of what training feedforward networks actually does, and what the result of the network represents. This book analyzes all these details by means of statistics, and consequently gives a very solid foundation for understanding neural networks. The definitive book for feedforward neural networks - extremely good! The math-heavy treatise makes it unsuitable for a beginners book, though.
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Add Self-Organizing Maps, The Self-Organizing Map (SOM), with its variants, is the most popular artificial neural network algorithm in the unsupervised learning category. About 4000 research articles on it have appeared in the open literature, and many industrial projects use the , Self-Organizing Maps to the inventory that you are selling on WonderClubX
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Add Self-Organizing Maps, The Self-Organizing Map (SOM), with its variants, is the most popular artificial neural network algorithm in the unsupervised learning category. About 4000 research articles on it have appeared in the open literature, and many industrial projects use the , Self-Organizing Maps to your collection on WonderClub |
