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Bücher Englische Bücher Wissen & Bildung Naturwissenschaft, Medizin, Informatik, Technik Physik & Astronomie Theoretische Physik Multi-Valued and Universal Binary Neurons
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Multi-Valued and Universal Binary Neurons
Igor Aizenberg, Naum N. Aizenberg, Joos P.L. Vandewalle (Broschiert, Englisch)
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Beschreibung
Multi-Valued and Universal Binary Neurons deals with two new types of neurons: multi-valued neurons and universal binary neurons. These neurons are based on complex number arithmetic and are hence much more powerful than the typical neurons used in artificial neural networks. Therefore, networks with such neurons exhibit a broad functionality. They can not only realise threshold input/output maps… but can also implement any arbitrary Boolean function. Two learning methods are presented whereby these networks can be trained easily. The broad applicability of these networks is proven by several case studies in different fields of application: image processing, edge detection, image enhancement, super resolution, pattern recognition, face recognition, and prediction. The book is hence partitioned into three almost equally sized parts: a mathematical study of the unique features of these new neurons, learning of networks of such neurons, and application of such neural networks. Most of this work was developed by the first two authors over a period of more than 10 years and was only available in the Russian literature. With this book we present the first comprehensive treatment of this important class of neural networks in the open Western literature. Multi-Valued and Universal Binary Neurons is intended for anyone with a scholarly interest in neural network theory, applications and learning. It will also be of interest to researchers and practitioners in the fields of image processing, pattern recognition, control and robotics. 160,49 €
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Technische Daten
Erscheinungsdatum
03.12.2010
Sprache
Englisch
EAN
9781441949783
Herausgeber
Springer US
Sonderedition
Nein
Autor
Igor Aizenberg, Naum N. Aizenberg, Joos P.L. Vandewalle
Seitenanzahl
276
Auflage
1
Einbandart
Broschiert
Buch Untertitel
Theory, Learning and Applications
Schlagwörter
algorithms, artificial neural network, cognition, control, detection, image processing, knowledge, learning, learning algorithm, logic, network, neural networks, pattern recognition, robot, robotics
Thema-Inhalt
GPFC - Kybernetik und Systemtheorie
UYQ - Künstliche Intelligenz
TJFM - Regelungstechnik
THR - Elektrotechnik
TJF - Elektronik
UYS - Digitale Signalverarbeitung (DSP)
PHU - Mathematische Physik
Höhe
235 mm
Breite
15.5 cm
Hersteller: Springer, Europaplatz 3, Heidelberg, Deutschland, 69115, ProductSafety@springernature.com, Springer Nature Customer Service Center GmbH
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