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Showing 1 - 9 of
9 matches in All Departments
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Advances in Neural Computation, Machine Learning, and Cognitive Research IV - Selected Papers from the XXII International Conference on Neuroinformatics, October 12-16, 2020, Moscow, Russia (Paperback, 1st ed. 2021)
Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko, Yury Tiumentsev
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R5,810
Discovery Miles 58 100
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Ships in 10 - 15 working days
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This book describes new theories and applications of artificial
neural networks, with a special focus on answering questions in
neuroscience, biology and biophysics and cognitive research. It
covers a wide range of methods and technologies, including deep
neural networks, large scale neural models, brain computer
interface, signal processing methods, as well as models of
perception, studies on emotion recognition, self-organization and
many more. The book includes both selected and invited papers
presented at the XXII International Conference on Neuroinformatics,
held on October 12-16, 2020, Moscow, Russia.
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Advances in Neural Computation, Machine Learning, and Cognitive Research IV - Selected Papers from the XXII International Conference on Neuroinformatics, October 12-16, 2020, Moscow, Russia (Hardcover, 1st ed. 2021)
Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko, Yury Tiumentsev
|
R5,842
Discovery Miles 58 420
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Ships in 10 - 15 working days
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This book describes new theories and applications of artificial
neural networks, with a special focus on answering questions in
neuroscience, biology and biophysics and cognitive research. It
covers a wide range of methods and technologies, including deep
neural networks, large scale neural models, brain computer
interface, signal processing methods, as well as models of
perception, studies on emotion recognition, self-organization and
many more. The book includes both selected and invited papers
presented at the XXII International Conference on Neuroinformatics,
held on October 12-16, 2020, Moscow, Russia.
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Advances in Neural Computation, Machine Learning, and Cognitive Research III - Selected Papers from the XXI International Conference on Neuroinformatics, October 7-11, 2019, Dolgoprudny, Moscow Region, Russia (Paperback, 1st ed. 2020)
Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko, Yury Tiumentsev
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R4,533
Discovery Miles 45 330
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Ships in 10 - 15 working days
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This book describes new theories and applications of artificial
neural networks, with a special focus on answering questions in
neuroscience, biology and biophysics and cognitive research. It
covers a wide range of methods and technologies, including deep
neural networks, large scale neural models, brain computer
interface, signal processing methods, as well as models of
perception, studies on emotion recognition, self-organization and
many more. The book includes both selected and invited papers
presented at the XXI International Conference on Neuroinformatics,
held on October 7-11, 2019, in Dolgoprudny, a town in Moscow
region, Russia.
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Advances in Neural Computation, Machine Learning, and Cognitive Research III - Selected Papers from the XXI International Conference on Neuroinformatics, October 7-11, 2019, Dolgoprudny, Moscow Region, Russia (Hardcover, 1st ed. 2020)
Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko, Yury Tiumentsev
|
R4,565
Discovery Miles 45 650
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Ships in 10 - 15 working days
|
This book describes new theories and applications of artificial
neural networks, with a special focus on answering questions in
neuroscience, biology and biophysics and cognitive research. It
covers a wide range of methods and technologies, including deep
neural networks, large scale neural models, brain computer
interface, signal processing methods, as well as models of
perception, studies on emotion recognition, self-organization and
many more. The book includes both selected and invited papers
presented at the XXI International Conference on Neuroinformatics,
held on October 7-11, 2019, in Dolgoprudny, a town in Moscow
region, Russia.
|
Advances in Neural Computation, Machine Learning, and Cognitive Research V - Selected Papers from the XXIII International Conference on Neuroinformatics, October 18-22, 2021, Moscow, Russia (Paperback, 1st ed. 2022)
Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko, Yury Tiumentsev, Valentin V. Klimov
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R6,547
Discovery Miles 65 470
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Ships in 10 - 15 working days
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This book describes new theories and applications of artificial
neural networks, with a special focus on answering questions in
neuroscience, biology and biophysics and cognitive research. It
covers a wide range of methods and technologies, including deep
neural networks, large scale neural models, brain computer
interface, signal processing methods, as well as models of
perception, studies on emotion recognition, self-organization and
many more. The book includes both selected and invited papers
presented at the XXIII International Conference on
Neuroinformatics, held on October 18-22, 2021, Moscow, Russia.
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Advances in Neural Computation, Machine Learning, and Cognitive Research II - Selected Papers from the XX International Conference on Neuroinformatics, October 8-12, 2018, Moscow, Russia (Paperback, Softcover reprint of the original 1st ed. 2019)
Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko, Yury Tiumentsev
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R5,780
Discovery Miles 57 800
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Ships in 10 - 15 working days
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This book describes new theories and applications of artificial
neural networks, with a special focus on addressing problems in
neuroscience, biology and biophysics and cognitive research. It
covers a wide range of methods and technologies, including deep
neural networks, large-scale neural models, brain-computer
interface, signal processing methods, as well as models of
perception, studies on emotion recognition, self-organization and
many more. The book includes both selected and invited papers
presented at the XX International Conference on Neuroinformatics,
held in Moscow, Russia on October 8-12, 2018.
|
Advances in Neural Computation, Machine Learning, and Cognitive Research VI - Selected Papers from the XXIV International Conference on Neuroinformatics, October 17-21, 2022, Moscow, Russia (Hardcover, 1st ed. 2023)
Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko, Yury Tiumentsev
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R5,142
Discovery Miles 51 420
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Ships in 12 - 17 working days
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This book describes new theories and applications of artificial
neural networks, with a special focus on answering questions in
neuroscience, biology and biophysics and cognitive research. It
covers a wide range of methods and technologies, including deep
neural networks, large-scale neural models, brain-computer
interface, signal processing methods, as well as models of
perception, studies on emotion recognition, self-organization and
many more. The book includes both selected and invited papers
presented at the XXIV International Conference on Neuroinformatics,
held on October 17-21, 2022, in Moscow, Russia.
|
Advances in Neural Computation, Machine Learning, and Cognitive Research II - Selected Papers from the XX International Conference on Neuroinformatics, October 8-12, 2018, Moscow, Russia (Hardcover, 1st ed. 2019)
Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko, Yury Tiumentsev
|
R5,812
Discovery Miles 58 120
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Ships in 10 - 15 working days
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This book describes new theories and applications of artificial
neural networks, with a special focus on addressing problems in
neuroscience, biology and biophysics and cognitive research. It
covers a wide range of methods and technologies, including deep
neural networks, large-scale neural models, brain-computer
interface, signal processing methods, as well as models of
perception, studies on emotion recognition, self-organization and
many more. The book includes both selected and invited papers
presented at the XX International Conference on Neuroinformatics,
held in Moscow, Russia on October 8-12, 2018.
Neural Network Modeling and Identification of Dynamical Systems
presents a new approach on how to obtain the adaptive neural
network models for complex systems that are typically found in
real-world applications. The book introduces the theoretical
knowledge available for the modeled system into the purely
empirical black box model, thereby converting the model to the gray
box category. This approach significantly reduces the dimension of
the resulting model and the required size of the training set. This
book offers solutions for identifying controlled dynamical systems,
as well as identifying characteristics of such systems, in
particular, the aerodynamic characteristics of aircraft.
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