NEW Biologically Inspired Neural Networks by. BOOK (Paperback / softback)
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Preise | 2012 | 2013 | 2014 | 2015 |
---|---|---|---|---|
Schnitt | € 79,00 | € 97,08 | € 87,59 | € 103,66 |
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1
Biologically Inspired Neural Networks
DE PB NW
ISBN: 9783639228267 bzw. 363922826X, in Deutsch, Vdm Verlag Dr. Müller, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandkostenfrei.
buecher.de GmbH & Co. KG, [1].
The remarkable computational power of the brain has motivated researchers to investigate computational systems which draw inspiration from the nervous system whose exact workings are still very much a mystery. Several neural models and encoding schemes were proposed and a number of learning rules were formulated. However, their applicability has been hampered by the lack of efficient training mechanisms. This work treats the idea of using bio-inspired neuron and synapse models in developing computational systems that can be applied to solve real world problems. A review of traditional ANNs and the more biologically plausible ANNs, i.e. spiking neural networks or SNNs, is presented. Different aspects and variants of evolutionary algorithms are addressed. Alternative training approaches/architectures based on evolutionary strategies, dynamic synapses and neural oscillators are developed and their performance and scalability are evaluated. This work should help shed some light on the growing field of SNNs and their design and application challenges. This book should interest readers, students and researchers, in neural networks, intelligent systems, computer science and engineering.2010. 244 S.Versandfertig in 3-5 Tagen, Softcover.
buecher.de GmbH & Co. KG, [1].
The remarkable computational power of the brain has motivated researchers to investigate computational systems which draw inspiration from the nervous system whose exact workings are still very much a mystery. Several neural models and encoding schemes were proposed and a number of learning rules were formulated. However, their applicability has been hampered by the lack of efficient training mechanisms. This work treats the idea of using bio-inspired neuron and synapse models in developing computational systems that can be applied to solve real world problems. A review of traditional ANNs and the more biologically plausible ANNs, i.e. spiking neural networks or SNNs, is presented. Different aspects and variants of evolutionary algorithms are addressed. Alternative training approaches/architectures based on evolutionary strategies, dynamic synapses and neural oscillators are developed and their performance and scalability are evaluated. This work should help shed some light on the growing field of SNNs and their design and application challenges. This book should interest readers, students and researchers, in neural networks, intelligent systems, computer science and engineering.2010. 244 S.Versandfertig in 3-5 Tagen, Softcover.
2
Biologically Inspired Neural Networks: Models, Learning, and Applications (2010)
EN PB NW
ISBN: 9783639228267 bzw. 363922826X, in Englisch, 256 Seiten, VDM Verlag Dr. Müller, Taschenbuch, neu.
Neu ab: $100.88 (11 Angebote)
Gebraucht ab: $119.13 (7 Angebote)
Zu den weiteren 18 Angeboten bei Amazon.com
Lieferung aus: Vereinigte Staaten von Amerika, Usually ships in 1-2 business days.
Von Händler/Antiquariat, Serendipity UnLtd.
The remarkable computational power of the brain has motivated researchers to investigate computational systems which draw inspiration from the nervous system whose exact workings are still very much a mystery. Several neural models and encoding schemes were proposed and a number of learning rules were formulated. However, their applicability has been hampered by the lack of efficient training mechanisms. This work treats the idea of using bio-inspired neuron and synapse models in developing computational systems that can be applied to solve real world problems. A review of traditional ANNs and the more biologically plausible ANNs, i.e. spiking neural networks or SNNs, is presented. Different aspects and variants of evolutionary algorithms are addressed. Alternative training approaches/architectures based on evolutionary strategies, dynamic synapses and neural oscillators are developed and their performance and scalability are evaluated. This work should help shed some light on the growing field of SNNs and their design and application challenges. This book should interest readers, students and researchers, in neural networks, intelligent systems, computer science and engineering. Paperback, Label: VDM Verlag Dr. Müller, VDM Verlag Dr. Müller, Produktgruppe: Book, Publiziert: 2010-08-09, Studio: VDM Verlag Dr. Müller, Verkaufsrang: 8695031.
Von Händler/Antiquariat, Serendipity UnLtd.
The remarkable computational power of the brain has motivated researchers to investigate computational systems which draw inspiration from the nervous system whose exact workings are still very much a mystery. Several neural models and encoding schemes were proposed and a number of learning rules were formulated. However, their applicability has been hampered by the lack of efficient training mechanisms. This work treats the idea of using bio-inspired neuron and synapse models in developing computational systems that can be applied to solve real world problems. A review of traditional ANNs and the more biologically plausible ANNs, i.e. spiking neural networks or SNNs, is presented. Different aspects and variants of evolutionary algorithms are addressed. Alternative training approaches/architectures based on evolutionary strategies, dynamic synapses and neural oscillators are developed and their performance and scalability are evaluated. This work should help shed some light on the growing field of SNNs and their design and application challenges. This book should interest readers, students and researchers, in neural networks, intelligent systems, computer science and engineering. Paperback, Label: VDM Verlag Dr. Müller, VDM Verlag Dr. Müller, Produktgruppe: Book, Publiziert: 2010-08-09, Studio: VDM Verlag Dr. Müller, Verkaufsrang: 8695031.
3
Biologically Inspired Neural Networks: Models, Learning, and Applications (2010)
EN PB US
ISBN: 9783639228267 bzw. 363922826X, in Englisch, 256 Seiten, VDM Verlag Dr. Müller, Taschenbuch, gebraucht.
Neu ab: $100.88 (11 Angebote)
Gebraucht ab: $119.13 (7 Angebote)
Zu den weiteren 18 Angeboten bei Amazon.com
Lieferung aus: Vereinigte Staaten von Amerika, Usually ships in 1-2 business days.
Von Händler/Antiquariat, super_star_seller.
The remarkable computational power of the brain has motivated researchers to investigate computational systems which draw inspiration from the nervous system whose exact workings are still very much a mystery. Several neural models and encoding schemes were proposed and a number of learning rules were formulated. However, their applicability has been hampered by the lack of efficient training mechanisms. This work treats the idea of using bio-inspired neuron and synapse models in developing computational systems that can be applied to solve real world problems. A review of traditional ANNs and the more biologically plausible ANNs, i.e. spiking neural networks or SNNs, is presented. Different aspects and variants of evolutionary algorithms are addressed. Alternative training approaches/architectures based on evolutionary strategies, dynamic synapses and neural oscillators are developed and their performance and scalability are evaluated. This work should help shed some light on the growing field of SNNs and their design and application challenges. This book should interest readers, students and researchers, in neural networks, intelligent systems, computer science and engineering. Paperback, Label: VDM Verlag Dr. Müller, VDM Verlag Dr. Müller, Produktgruppe: Book, Publiziert: 2010-08-09, Studio: VDM Verlag Dr. Müller, Verkaufsrang: 8695031.
Von Händler/Antiquariat, super_star_seller.
The remarkable computational power of the brain has motivated researchers to investigate computational systems which draw inspiration from the nervous system whose exact workings are still very much a mystery. Several neural models and encoding schemes were proposed and a number of learning rules were formulated. However, their applicability has been hampered by the lack of efficient training mechanisms. This work treats the idea of using bio-inspired neuron and synapse models in developing computational systems that can be applied to solve real world problems. A review of traditional ANNs and the more biologically plausible ANNs, i.e. spiking neural networks or SNNs, is presented. Different aspects and variants of evolutionary algorithms are addressed. Alternative training approaches/architectures based on evolutionary strategies, dynamic synapses and neural oscillators are developed and their performance and scalability are evaluated. This work should help shed some light on the growing field of SNNs and their design and application challenges. This book should interest readers, students and researchers, in neural networks, intelligent systems, computer science and engineering. Paperback, Label: VDM Verlag Dr. Müller, VDM Verlag Dr. Müller, Produktgruppe: Book, Publiziert: 2010-08-09, Studio: VDM Verlag Dr. Müller, Verkaufsrang: 8695031.
5
NEW Biologically Inspired Neural Networks by Ammar Belatreche Paperback Book (En
EN PB NW
ISBN: 9783639228267 bzw. 363922826X, in Englisch, VDM Verlag Dr. Müller, Saarbrücken, Deutschland, Taschenbuch, neu.
Lieferung aus: Vereinigte Staaten von Amerika, Lieferart: Free, Lieferung: Weltweit, Artikelstandort: USA, Versandkostenfrei.
Von Händler/Antiquariat, grandeagleretail.
Festpreisangebot.
Von Händler/Antiquariat, grandeagleretail.
Festpreisangebot.
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