Advances in Neural Computation, Machine Learning, and Cognitive Research : Selected Papers from the XIX International Conference on Neuroinformatics, October 2-6, 2017, Moscow, Russia

Description

This book describes new theories and applications of artificial neural networks, with a special focus on neural computation, cognitive science and machine learning. It discusses cutting-edge research at the intersection between different fields, from topics such as cognition and behavior, motivation and emotions, to neurocomputing, deep learning, classification and clustering. Further topics include signal processing methods, robotics and neurobionics, and computer vision alike. The book includes selected papers from the XIX International Conference on Neuroinformatics, held on October 2-6, 2017, in Moscow, Russia. Read more... Abstract: This book describes new theories and applications of artificial neural networks, with a special focus on neural computation, cognitive science and machine learning. It discusses cutting-edge research at the intersection between different fields, from topics such as cognition and behavior, motivation and emotions, to neurocomputing, deep learning, classification and clustering. Further topics include signal processing methods, robotics and neurobionics, and computer vision alike. The book includes selected papers from the XIX International Conference on Neuroinformatics, held on October 2-6, 2017, in Moscow, Russia Front Matter ....Pages i-xv Front Matter ....Pages 1-1 The Analysis of Regularization in Deep Neural Networks Using Metagraph Approach (Yuriy S. Fedorenko, Yuriy E. Gapanyuk, Svetlana V. Minakova)....Pages 3-8 Adding Noise During Training as a Method to Increase Resilience of Neural Network Solution of Inverse Problems: Test on the Data of Magnetotelluric Sounding Problem (Igor Isaev, Sergey Dolenko)....Pages 9-16 Multi-Layer Solution of Heat Equation (Tatiana Lazovskaya, Dmitry Tarkhov, Alexander Vasilyev)....Pages 17-22 Implementation of a Gate Neural Network Based on Combinatorial Logic Elements (Taras Mikhailyuk, Sergey Zhernakov)....Pages 23-32 Adaptive Gateway Element Based on a Recurrent Neurodynamical Model (Yury S. Prostov, Yury V. Tiumentsev)....Pages 33-38 Common Sense Knowledge in Large Scale Neural Conversational Models (D. S. Tarasov, E. D. Izotova)....Pages 39-44 Front Matter ....Pages 45-45 Prospects for the Development of Neuromorphic Systems (Aleksandr Bakhshiev, Lev Stankevich)....Pages 47-52 Pulse Neuron Learning Rules for Processing of Dynamical Variables Encoded by Pulse Trains (Vladimir Bondarev)....Pages 53-58 Information Environment for Neural-Network Adaptive Control System (Le Ba Chung, Y. A. Holopov)....Pages 59-64 Neural Network Semi-empirical Modeling of the Longitudinal Motion for Maneuverable Aircraft and Identification of Its Aerodynamic Characteristics (Mikhail Egorchev, Yury Tiumentsev)....Pages 65-71 Dump Truck Fault’s Short-Term Forecasting Based on the Multi-agent Adaptive Fuzzy Neuronet (Ekaterina A. Engel)....Pages 72-78 Object Detection on Images in Docking Tasks Using Deep Neural Networks (Ivan Fomin, Dmitrii Gromoshinskii, Aleksandr Bakhshiev)....Pages 79-84 Detection of Neurons on Images of the Histological Slices Using Convolutional Neural Network (Ivan Fomin, Viktor Mikhailov, Aleksandr Bakhshiev, Natalia Merkulyeva, Aleksandr Veshchitskii, Pavel Musienko)....Pages 85-90 Constructing a Neural-Net Model of Network Traffic Using the Topologic Analysis of Its Time Series Complexity (N. Gabdrakhmanova)....Pages 91-97 Texture Recognition from Positions of the Theory of Active Perceptions (Vasiliy Gai, Pavel Rodionov, Maxim Derbasov, Dmitriy Lyakhmanov, Alla Koshurina)....Pages 98-103 Method of Calculation of Upper Bound of Learning Rate for Neural Tuner to Control DC Drive (Anton I. Glushchenko)....Pages 104-109 Intelligent Diagnostics of Mechatronic System Components of Career Excavators in Operation (S. I. Malafeev, S. S. Malafeev, Y. V. Tikhonov)....Pages 110-116 Emotion Recognition in Sound (Anastasiya S. Popova, Alexandr G. Rassadin, Alexander A. Ponomarenko)....Pages 117-124 The Classification of Objects Based on a Model of Perception (V. N. Shats)....Pages 125-131 An Approach to Use Convolutional Neural Network Features in Eye-Brain-Computer-Interface (A. G. Trofimov, B. M. Velichkovskiy, S. L. Shishkin)....Pages 132-137 Semi-empirical Neural Network Model of Real Thread Sagging (A. N. Vasilyev, D. A. Tarkhov, V. A. Tereshin, M. S. Berminova, A. R. Galyautdinova)....Pages 138-144 Front Matter ....Pages 145-145 Color or Luminance Contrast – What Is More Important for Vision? (Evgeny Meilikov, Rimma Farzetdinova)....Pages 147-156 Synchrony of Cortical Alpha and Beta Oscillations (Victor L. Vvedensky)....Pages 157-162 Processes of Self-organization in the Community of Investors and Producers (Vladimir G. Red’ko, Zarema B. Sokhova)....Pages 163-169 Front Matter ....Pages 171-171 Complexity of Heart Rate During More and Less Differentiated Behaviors (Anastasiia Bakhchina)....Pages 173-179 Comparison of Some Fractal Analysis Methods for Studying the Spontaneous Activity in Medullar Auditory Units (N. G. Bibikov, I. V. Makushevich)....Pages 180-185 Synapse as a Multi-component and Multi-level Information System (A. L. Proskura, A. S. Ratushnyak, S. O. Vechkapova, T. A. Zapara)....Pages 186-192 Effect of Persistent Sodium Current on Neuronal Activity (E. Y. Smirnova, A. V. Zefirov, D. V. Amakhin, A. V. Chizhov)....Pages 193-199