Advances in Neural Computation, Machine Learning, and Cognitive Research II

Beschreibung

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.
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.
Reports on advanced theories and applications of artificial neural networks Focuses on problems in neuroscience, systems biophysics, cognitive research, and adaptive control Merges topics in neurobiology, machine learning, and evolutionary programming

Autor*in

Boris Kryzhanovsky

Themen in »Advances in Neural Computation, Machine Learning, and Cognitive Research II«

Deep neural networks Modeling inverse problems Additive noise Multilayer neural networks Boolean neural network Context dependent recognition Applications of adaptive neural networks Digital neural-network control system Traffic control methods Synchronous information environment Adaptive control systems Conference Proceedings

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