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

by Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko, Yury Tiumentsev

Overview

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.

Product Details

ISBN-13:	9783030304249
Publisher:	Springer International Publishing
Publication date:	09/03/2019
Series:	Studies in Computational Intelligence , #856
Edition description:	1st ed. 2020
Pages:	428
Product dimensions:	6.10(w) x 9.25(h) x (d)

Table of Contents

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.