Advances in Neural Computation, Machine Learning, and Cognitive Research III -

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
Buch | Softcover
XVII, 428 Seiten
2020 | 1st ed. 2020
Springer International Publishing (Verlag)
978-3-030-30427-0 (ISBN)
149,79 inkl. MwSt

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.

Preface.- Part I: Invited Papers.- Chapter 1. Deep Learning a Single Photo Voxel Model Prediction from Real and Synthetic Images.- Chapter 2. Tensor Train Neural Networks in Retail Operations.- Chapter 3. Semi-Empirical Neural Network Based Modeling and Identification of Controlled Dynamical Systems, etc.

Erscheinungsdatum
Reihe/Serie Studies in Computational Intelligence
Zusatzinfo XVII, 428 p. 210 illus., 120 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 682 g
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Informatik Weitere Themen Bioinformatik
Technik Elektrotechnik / Energietechnik
Schlagworte 3D object reconstruction • Algorithms for Eye Detection • Analysis of Avoidance Behavior • Application of Tensor Train Neural Networks • Attention Recognition • Automated Species Identification • Autonomous Agent in Economy • Control and Monitoring of Operator Performance • Convolutional Recurrent Spiking Neural Networks • Deep Learning for Image Recognition • Facial Expression Recognition • Fatigue Control Models • Functional Connectivity Methods • Grasping Control • Multi-parameter Inverse Problems • Neural Networks for Video Surveillance System • Neuroinformatics 2019 • Recurrent Analysis of EEG Patterns
ISBN-10 3-030-30427-2 / 3030304272
ISBN-13 978-3-030-30427-0 / 9783030304270
Zustand Neuware
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