New Soft Computing Techniques for System Modeling, Pattern Classification and Image Processing:
This book presents new soft computing techniques for system modeling, pattern classification and image processing. The book consists of three parts, the first of which is devoted to probabilistic neural networks including a new approach which has proven to be useful for handling regression and class...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2004
|
| Schriftenreihe: | Studies in Fuzziness and Soft Computing
143 |
| Schlagworte: | |
| Online-Zugang: | FHI01 BTU01 Volltext |
| Zusammenfassung: | This book presents new soft computing techniques for system modeling, pattern classification and image processing. The book consists of three parts, the first of which is devoted to probabilistic neural networks including a new approach which has proven to be useful for handling regression and classification problems in time-varying environments. The second part of the book is devoted to Soft Computing techniques for Image Compression including the vector quantization technique. The third part analyzes various types of recursive least square techniques for neural network learning as well as discussing hardware implemenations using systolic technology. By integrating various disciplines from the fields of soft computing science and engineering the book presents the key concepts for the creation of a human-friendly technology in our modern information society |
| Beschreibung: | 1 Online-Ressource (XI, 374 p) |
| ISBN: | 9783540400462 |
| DOI: | 10.1007/978-3-540-40046-2 |
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| id | DE-604.BV045149183 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:10:03Z |
| institution | BVB |
| isbn | 9783540400462 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030538882 |
| oclc_num | 864070208 |
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| physical | 1 Online-Ressource (XI, 374 p) |
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| publishDate | 2004 |
| publishDateSearch | 2004 |
| publishDateSort | 2004 |
| publisher | Springer Berlin Heidelberg |
| record_format | marc |
| series2 | Studies in Fuzziness and Soft Computing |
| spelling | Rutkowski, Leszek Verfasser aut New Soft Computing Techniques for System Modeling, Pattern Classification and Image Processing by Leszek Rutkowski Berlin, Heidelberg Springer Berlin Heidelberg 2004 1 Online-Ressource (XI, 374 p) txt rdacontent c rdamedia cr rdacarrier Studies in Fuzziness and Soft Computing 143 This book presents new soft computing techniques for system modeling, pattern classification and image processing. The book consists of three parts, the first of which is devoted to probabilistic neural networks including a new approach which has proven to be useful for handling regression and classification problems in time-varying environments. The second part of the book is devoted to Soft Computing techniques for Image Compression including the vector quantization technique. The third part analyzes various types of recursive least square techniques for neural network learning as well as discussing hardware implemenations using systolic technology. By integrating various disciplines from the fields of soft computing science and engineering the book presents the key concepts for the creation of a human-friendly technology in our modern information society Computer Science Theory of Computation Appl.Mathematics/Computational Methods of Engineering Artificial Intelligence (incl. Robotics) Image Processing and Computer Vision Pattern Recognition Information and Communication, Circuits Computer science Computers Artificial intelligence Image processing Pattern recognition Information theory Applied mathematics Engineering mathematics Erscheint auch als Druck-Ausgabe 9783642058202 https://doi.org/10.1007/978-3-540-40046-2 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Rutkowski, Leszek New Soft Computing Techniques for System Modeling, Pattern Classification and Image Processing Computer Science Theory of Computation Appl.Mathematics/Computational Methods of Engineering Artificial Intelligence (incl. Robotics) Image Processing and Computer Vision Pattern Recognition Information and Communication, Circuits Computer science Computers Artificial intelligence Image processing Pattern recognition Information theory Applied mathematics Engineering mathematics |
| title | New Soft Computing Techniques for System Modeling, Pattern Classification and Image Processing |
| title_auth | New Soft Computing Techniques for System Modeling, Pattern Classification and Image Processing |
| title_exact_search | New Soft Computing Techniques for System Modeling, Pattern Classification and Image Processing |
| title_full | New Soft Computing Techniques for System Modeling, Pattern Classification and Image Processing by Leszek Rutkowski |
| title_fullStr | New Soft Computing Techniques for System Modeling, Pattern Classification and Image Processing by Leszek Rutkowski |
| title_full_unstemmed | New Soft Computing Techniques for System Modeling, Pattern Classification and Image Processing by Leszek Rutkowski |
| title_short | New Soft Computing Techniques for System Modeling, Pattern Classification and Image Processing |
| title_sort | new soft computing techniques for system modeling pattern classification and image processing |
| topic | Computer Science Theory of Computation Appl.Mathematics/Computational Methods of Engineering Artificial Intelligence (incl. Robotics) Image Processing and Computer Vision Pattern Recognition Information and Communication, Circuits Computer science Computers Artificial intelligence Image processing Pattern recognition Information theory Applied mathematics Engineering mathematics |
| topic_facet | Computer Science Theory of Computation Appl.Mathematics/Computational Methods of Engineering Artificial Intelligence (incl. Robotics) Image Processing and Computer Vision Pattern Recognition Information and Communication, Circuits Computer science Computers Artificial intelligence Image processing Pattern recognition Information theory Applied mathematics Engineering mathematics |
| url | https://doi.org/10.1007/978-3-540-40046-2 |
| work_keys_str_mv | AT rutkowskileszek newsoftcomputingtechniquesforsystemmodelingpatternclassificationandimageprocessing |