Автор: Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko Название: Advances in Neural Computation, Machine Learning, and Cognitive Research: Selected Papers from the XIX International Conference on Neuroinformatics Издательство: Springer Год: 2017 Серия: Studies in Computational Intelligence (Book 736) ISBN: 3319666037 Язык: English Формат: pdf Размер: 12,4 mb Страниц: 199
This text 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.
The Analysis of Regularization in Deep Neural Networks Using Meta graph Approach Yuriy S. Fedorenko, Yuriy E. Gapanyuk, and Svetlana V. Minakova
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 and Sergey Dolenko
Multi-Layer Solution of Ileat Equation Tatiana Lazovskaya, Dmitry Tarkhov, and Alexander Vasilyev
Implementation of a Gate Neural Network Based on Combinatorial Logic Elements Taras Mikhailyuk and Sergey Zhemakov
Adaptive Gateway Element Based on a Recurrent Neurodynamical Model Yury S. Prostov and Yuiy V. Tiumentsev
Common Sense Knowledge in Large Scale Neural Conversational Models D.S. Tarasov and E.D. Izotova
Applications of Neural Networks
Prospects for the Development of Neuromorphic Systems Aleksandr Bakhshiev and Lev Stankevich
Pulse Neuron Learning Rules for Processing of Dynamical Variables Encoded by Pulse Trains Vladimir Bondarev
Information Environment for Neural-Network Adaptive Control System Le Ba Chung and Y.A. Holopov
Neural Network Semi-empirical Modeling of the Longitudinal Motion for Maneuverable Aircraft and Identification of Its Aerodynamic Characteristics Mikhail Egorchev and Yury Tiumentsev
Dump Truck Fault's Short-Term Forecasting Based on the Multi-agent Adaptive Fuzzy Neuronet Ekaterina A. Engel
Object Detection on Images in Docking Tasks Using Deep Neural Networks Ivan Fomin, Dmitrii Gromoshinskii, and Aleksandr Bakhshiev
Detection of Neurons on Images of the Histological Slices Using Convolutional Neural Network Ivan Fomin, Viktor Mikhailov, Aleksandr Bakhshiev, Natalia Merkulyeva, Aleksandr Veshchitskii, and Pavel Musienko
Constructing a Neural-Net Model of Network Traffic Using the Topologic Analysis of Its Time Series Complexity N. Gabdrakhmanova
Texture Recognition from Positions of the Theory of Active Perceptions Vasiliy Gai, Pavel Rodionov, Maxim Derbasov, Dmitri у Lyakhmanov, and Alla Koshurina
Method of Calculation of Upper Bound of Learning Rate for Neural Tuner to Control DC Drive Anton I. Glushchenko
Intelligent Diagnostics of Mechatronic System Components of Career Excavators in Operation Si. Malafeev, S.S. Malafeev, and Y.V. Tikhonov
Emotion Recognition in Sound Anastasiya S. Popova Alexandr G. Rassadin, and Alexander A. Ponomarenko
The Classification of Objects Based on a Model of Perception V.N. Shats
An Approach to Use Convolutional Neural Network Features in Eye-Brain-Computer-Interface A.G. Trofimov, B.M. Velichkovskiy, and S.L Shishkin
Semi-empirical Neural Network Model of Real Thread Sagging A.N. Vasilyev, D.A. Tarkhov, V.A. Tereshin, M.S. Berminova, and A.R. Galyautdinova
Cognitive Sciences and Adaptive Behavior
Color or Luminance Contrast - What Is More Important for Vision? Evgeny Meilikov and Rimma Farzetdinova
Synchrony of Cortical Alpha and Beta Oscillations Victor L. Vvedensky
Processes of Self-organization in the Community of Investors and Producers Vladimir G. Red'ko and Zarema B. Sokhova
Neurobiology
Complexity of Heart Rate During More and Less Differentiated Behaviors Anastasiia Bakhchina
Comparison of Some Fractal Analysis Methods for Studying the Spontaneous Activity in Medullar Auditory Units N.G. Bibikov and LV. Makushevich
Synapse as a Multi-component and Multi-level Information System A.L. Proskura, A.S. Ratushnyak, S.O. Vechkapova, and T.A. Zapara
Effect of Persistent Sodium Current on Neuronal Activity E.Y. Smirnova, A.V. Zefirov, D.V. Amakhin, and A.V. Chizhov
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