Supervised and Unsupervised Pattern Recognition Feature Extraction and Computational Intelligence |
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| Contribution by:
| Chung, WooGon
Dasey, Timothy
Fazal, Faiq
Wolpert, Seth
Zahner, Daniel A.
Ademoglu, Ahmet
Enderwick, Cynthia
Dasey, Timothy J.
Cooley, Timothy
Aleynikov, Sergey
Bricker, Jeremy
Chon, T-s.
Phan, Francis
Fazil, Faig A.
Iezzi, Raymond |
| Editor:
| Tzanakou, Evangelia Miche |
| Series edited by:
| Dorf, Richard C.
Irwin, J. David |
| Series title: | Industrial Electronics Ser. |
| ISBN: | 978-1-351-82686-0 |
| Publication Date: | Dec 2017 |
| Publisher: | Taylor & Francis Group
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| Imprint: | CRC Press |
| Book Format: | Digital (delivered electronically) |
| List Price: | USD $64.95USD $200.00USD $270.00 |
Book Description:
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There are many books on neural networks, some of which cover computational intelligence, but none that incorporate both feature extraction and computational intelligence as this volume does. Supervised and Unsupervised Pattern Recognition describes the application of a novel, unsupervised pattern recognition scheme to the classification of various types of waveforms and images. It also discusses the establishment of a brain-to-computer link and analyzes findings from human experiments...
More DescriptionThere are many books on neural networks, some of which cover computational intelligence, but none that incorporate both feature extraction and computational intelligence as this volume does. Supervised and Unsupervised Pattern Recognition describes the application of a novel, unsupervised pattern recognition scheme to the classification of various types of waveforms and images. It also discusses the establishment of a brain-to-computer link and analyzes findings from human experiments in a new light. In the quickly changing field of computational intelligence, every discovery is significant. In one convenient volume, this work provides access to notable findings and current applications.