Advances in Neural Computation, Machine Learning, and Cognitive Research [[electronic resource] ] : Selected Papers from the XIX International Conference on Neuroinformatics, October 2-6, 2017, Moscow, Russia / / edited by Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko

• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
• Edizione: 1st ed. 2018.
• Descrizione fisica: 1 online resource (XV, 199 p. 60 illus.)
• Disciplina: 612.8
• Soggetto topico: Computational intelligence; Artificial intelligence; Biophysics; Computer simulation; Bioinformatics; Computational Intelligence; Artificial Intelligence; Computer Modelling; Computational and Systems Biology
• Persona (resp. second.): KryzhanovskyBoris; Dunin-BarkowskiWitali; RedkoVladimir
• Nota di contenuto: Intro -- Preface -- Organization -- Editorial Board -- Advisory Board -- Program Committee of the XIX International Conference "Neuroinformatics-2017" -- General Chair -- Co-chairs -- Program Committee -- Contents -- Neural Network Theory -- The Analysis of Regularization in Deep Neural Networks Using Metagraph Approach -- Abstract -- 1 Introduction -- 2 Description of the Used Neural Network -- 3 Regularization of Deep Neural Networks -- 4 Regularization Representation Using Metagraph Approach -- 5 Experiments -- 6 Conclusion -- References -- Adding Noise During Training as a Method to Increase Resilience of Neural Network Solution of Invers ... -- Abstract -- 1 Introduction -- 2 The Initial Data and the Statement of the IP of MTS -- 3 Description of the Noise -- 4 The Use of Artificial Neural Networks -- 5 Results -- 6 Conclusion -- Acknowledgement -- References -- Multi-Layer Solution of Heat Equation -- 1 Introduction -- 2 Model Problem -- 3 Calculations -- 4 Conclusions -- References -- Implementation of a Gate Neural Network Based on Combinatorial Logic Elements -- Abstract -- 1 Introduction -- 2 Model of the Gate Neural Network -- 3 Network Learning Algorithm -- 4 Analysis of the Results -- 5 Conclusion -- References -- Adaptive Gateway Element Based on a Recurrent Neurodynamical Model -- 1 Introduction -- 2 Neuron Model -- 3 Gateway Model -- 4 Conclusions -- References -- Common Sense Knowledge in Large Scale Neural Conversational Models -- Abstract -- 1 Introduction -- 2 Methods and Algorithms -- 2.1 Datasets -- 2.2 Neural Network Architectures -- 2.3 Word Vectors -- 3 Results and Discussion -- 3.1 Reply Selection Accuracies -- 3.2 Factoid Answer Selection from Alternatives -- 3.3 Common Sense Questions -- 4 Conclusions -- References -- Applications of Neural Networks -- Prospects for the Development of Neuromorphic Systems -- Abstract. ; 1 Introduction -- 2 Overview of Deep Neural Network Architectures -- 3 Neuron Models -- 4 Discussion -- References -- Pulse Neuron Learning Rules for Processing of Dynamical Variables Encoded by Pulse Trains -- Abstract -- 1 Introduction -- 2 Problem Formulation -- 3 Temporal Learning Rules of the Pulse Neuron -- 4 Computer Simulation -- 5 Conclusions -- References -- Information Environment for Neural-Network Adaptive Control System -- Abstract -- 1 Introduction -- 2 Analysis of the Structure of a Digital Neural Network Control System Based on the Universal Computer -- 3 Implementation of Phases of the Control Cycle of the Neural Network System -- 4 A Coherent Information Environment Model for Neural-Network Control System -- 5 Conclusion -- References -- Neural Network Semi-empirical Modeling of the Longitudinal Motion for Maneuverable Aircraft and Identification of Its Aerodynamic Characteristics -- 1 Introduction -- 2 Mathematical Model of Longitudinal Motion for Maneuverable Aircraft -- 3 Generation of a Representative Set of Training Data -- 4 Semi-empirical Neural Network Model of Aircraft Longitudinal Motion -- 5 Conclusions -- References -- Dump Truck Fault's Short-Term Forecasting Based on the Multi-agent Adaptive Fuzzy Neuronet -- 1 Introduction -- 2 The Multi-agent Adaptive Fuzzy Neuronet for Dump Truck Fault's Short-Term Forecasts -- 2.1 The Training Algorithms of the Multi-agent Adaptive Fuzzy Neuronet -- 2.2 The Multi-agent Adaptive Fuzzy Neuronet -- 3 Results -- References -- Object Detection on Images in Docking Tasks Using Deep Neural Networks -- Abstract -- 1 Introduction -- 1.1 Relevance of the Problem -- 1.2 Statement of the Problem -- 2 Description of Chosen Systems -- 2.1 Structure of the Faster R-CNN -- 2.2 Learning of Faster R-CNN -- 3 Experimental Researches -- 4 Conclusions -- References. ; Detection of Neurons on Images of the Histological Slices Using Convolutional Neural Network -- Abstract -- 1 Introduction -- 2 Methods -- 3 Results -- 4 Conclusions -- Acknowledgements -- References -- Constructing a Neural-Net Model of Network Traffic Using the Topologic Analysis of Its Time Series Complexity -- Abstract -- 1 Introduction -- 2 The Topological Data Analysis -- 3 Setting the Problem -- 4 Topological Invariants Calculated for a Traffic Intensity Sequence -- 5 Building the Neural-Net Model of the Data -- 6 Conclusions -- References -- Texture Recognition from Positions of the Theory of Active Perceptions -- 1 Introduction -- 2 Using TAP in Image Recognition -- 3 Formation of Feature Description of a Textured Image -- 4 Computational Experiment -- 5 Conclusion -- References -- Method of Calculation of Upper Bound of Learning Rate for Neural Tuner to Control DC Drive -- Abstract -- 1 Introduction -- 2 Definition of the Tuner and Problem Statement -- 3 Stability of the Control System -- 4 Upper Bound of Learning Rate Calculation -- 5 Experimental Results -- 6 Conclusion -- Acknowledgments -- References -- Intelligent Diagnostics of Mechatronic System Components of Career Excavators in Operation -- Abstract -- 1 Introduction -- 2 The Organization of the Intelligent Diagnostics of Mechatronic Complex Components -- 3 Neural Network for Data Processing -- 4 Practical Implementation of Algorithms in the Diagnostic System -- 5 Conclusion -- References -- Emotion Recognition in Sound -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 3 Examined Approach -- 4 Conclusions and Directions for Further Work -- Acknowledgments -- References -- The Classification of Objects Based on a Model of Perception -- Abstract -- 1 Introduction -- 2 Theoretical Problems -- 2.1 Statement of the Problem -- 2.2 Initial Stages of Information Transformation. ; 2.3 Compression of Information by Granulation -- 2.4 Classification of Objects as a Prototype Search -- 3 Properties of the Model -- 4 Conclusion -- References -- An Approach to Use Convolutional Neural Network Features in Eye-Brain-Computer-Interface -- Abstract -- 1 Introduction -- 2 Problem Statement -- 3 Representation of the EEG Signals as Images -- 4 Quality of Features Generated by the Convolutional Neural Network -- 5 Conclusions -- Acknowledgements -- References -- Semi-empirical Neural Network Model of Real Thread Sagging -- Abstract -- 1 Introduction -- 2 Semi-empirical Model of a Sagging Thread. Methods -- 3 Calculation -- 4 Conclusions -- References -- Cognitive Sciences and Adaptive Behavior -- Color or Luminance Contrast -- What Is More Important for Vision? -- 1 Introduction -- 2 Contrast of a Color Image -- 3 Color Analog of Rayleigh Criterion -- 4 Conclusion -- References -- Synchrony of Cortical Alpha and Beta Oscillations -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 3 Results -- 4 Conclusions -- Acknowledgments -- References -- Processes of Self-organization in the Community of Investors and Producers -- Abstract -- 1 Introduction -- 2 Description of the Model -- 2.1 General Scheme of the Model -- 2.2 Description of the Iterative Process -- 3 Results of Computer Simulation -- 4 Conclusion -- Acknowledgments -- References -- Neurobiology -- Complexity of Heart Rate During More and Less Differentiated Behaviors -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 3 Results -- 4 Conclusion -- Acknowledgments -- References -- Comparison of Some Fractal Analysis Methods for Studying the Spontaneous Activity in Medullar Audito ... -- Abstract -- 1 Introduction -- 2 Methods -- 2.1 Electrophysiological Recording of the Background Firing -- 2.2 Data Processing -- 3 Conclusion -- References. ; Synapse as a Multi-component and Multi-level Information System -- Abstract -- 1 Introduction -- 2 The Own Goals of the Individual Neuron -- 3 The Functional Systems of the Neuron Involved in Synaptic Modulations in the Early Phase of LTP -- 4 Conclusion -- Acknowledgements -- References -- Effect of Persistent Sodium Current on Neuronal Activity -- Abstract -- 1 Introduction -- 2 Methods -- 2.1 Experiment -- 2.2 Analysis of Experimental Data -- 2.3 Hodgkin-Huxley-like Model of a Neuron -- 3 Results -- 3.1 Dynamic-Clamp Study of the Influence of NaP Current -- 3.2 Effect of Persistent-Sodium Current in a Modeled Neuron -- 4 Conclusion -- Acknowledgments -- References.
• Sommario/riassunto: 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.
• Titolo autorizzato: Advances in Neural Computation, Machine Learning, and Cognitive Research
• ISBN: 3-319-66604-5
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910299885803321
• Lo trovi qui: Univ. Federico II
• Serie: Studies in Computational Intelligence, . 1860-9503 ; ; 736