Principles of artificial neural networks:
Artificial neural networks are most suitable for solving problems that are complex, ill-defined, highly nonlinear, of many and different variables, and/or stochastic. Such problems are abundant in medicine, in finance, in security and beyond. This volume covers the basic theory and architecture of t...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Singapore
World Scientific Pub. Co.
c2013
|
| Ausgabe: | 3rd ed |
| Schriftenreihe: | Advanced series in circuits and systems
v. 7 |
| Schlagworte: | |
| Online-Zugang: | FHN01 Volltext |
| Zusammenfassung: | Artificial neural networks are most suitable for solving problems that are complex, ill-defined, highly nonlinear, of many and different variables, and/or stochastic. Such problems are abundant in medicine, in finance, in security and beyond. This volume covers the basic theory and architecture of the major artificial neural networks. Uniquely, it presents 18 complete case studies of applications of neural networks in various fields, ranging from cell-shape classification to micro-trading in finance and to constellation recognition - all with their respective source codes. These case studies demonstrate to the readers in detail how such case studies are designed and executed and how their specific results are obtained. The book is written for a one-semester graduate or senior-level undergraduate course on artificial neural networks. It is also intended to be a self-study and a reference text for scientists, engineers and for researchers in medicine, finance and data mining |
| Beschreibung: | xviii, 364 p. ill. (some col.) |
| ISBN: | 9789814522748 |
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Datensatz im Suchindex
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| author | Graupe, Daniel |
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| dewey-full | 006.32 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
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| dewey-search | 006.32 |
| dewey-sort | 16.32 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| edition | 3rd ed |
| format | Electronic eBook |
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| spelling | Graupe, Daniel Verfasser aut Principles of artificial neural networks Daniel Graupe 3rd ed Singapore World Scientific Pub. Co. c2013 xviii, 364 p. ill. (some col.) txt rdacontent c rdamedia cr rdacarrier Advanced series in circuits and systems v. 7 Artificial neural networks are most suitable for solving problems that are complex, ill-defined, highly nonlinear, of many and different variables, and/or stochastic. Such problems are abundant in medicine, in finance, in security and beyond. This volume covers the basic theory and architecture of the major artificial neural networks. Uniquely, it presents 18 complete case studies of applications of neural networks in various fields, ranging from cell-shape classification to micro-trading in finance and to constellation recognition - all with their respective source codes. These case studies demonstrate to the readers in detail how such case studies are designed and executed and how their specific results are obtained. The book is written for a one-semester graduate or senior-level undergraduate course on artificial neural networks. It is also intended to be a self-study and a reference text for scientists, engineers and for researchers in medicine, finance and data mining Neural networks (Computer science) Neuronales Netz (DE-588)4226127-2 gnd rswk-swf 1\p (DE-588)4151278-9 Einführung gnd-content Neuronales Netz (DE-588)4226127-2 s 2\p DE-604 Erscheint auch als Druck-Ausgabe 9789814522731 http://www.worldscientific.com/worldscibooks/10.1142/8868#t=toc Verlag URL des Erstveroeffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Graupe, Daniel Principles of artificial neural networks Neural networks (Computer science) Neuronales Netz (DE-588)4226127-2 gnd |
| subject_GND | (DE-588)4226127-2 (DE-588)4151278-9 |
| title | Principles of artificial neural networks |
| title_auth | Principles of artificial neural networks |
| title_exact_search | Principles of artificial neural networks |
| title_full | Principles of artificial neural networks Daniel Graupe |
| title_fullStr | Principles of artificial neural networks Daniel Graupe |
| title_full_unstemmed | Principles of artificial neural networks Daniel Graupe |
| title_short | Principles of artificial neural networks |
| title_sort | principles of artificial neural networks |
| topic | Neural networks (Computer science) Neuronales Netz (DE-588)4226127-2 gnd |
| topic_facet | Neural networks (Computer science) Neuronales Netz Einführung |
| url | http://www.worldscientific.com/worldscibooks/10.1142/8868#t=toc |
| work_keys_str_mv | AT graupedaniel principlesofartificialneuralnetworks |