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Advances in Neural Computation, Machine Learning, and Cognitive Research : Selected Papers from the XIX International Conference on Neuroinformatics, October 2-6, 2017, Moscow, Russia / / edited by Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko
| Advances in Neural Computation, Machine Learning, and Cognitive Research : Selected Papers from the XIX International Conference on Neuroinformatics, October 2-6, 2017, Moscow, Russia / / edited by Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XV, 199 p. 60 illus.) |
| Disciplina | 612.8 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Computational intelligence
Artificial intelligence Biophysics Computer simulation Bioinformatics Computational Intelligence Artificial Intelligence Computer Modelling Computational and Systems Biology |
| ISBN | 3-319-66604-5 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| 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. |
| Record Nr. | UNINA-9910299885803321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in Neural Computation, Machine Learning, and Cognitive Research II : Selected Papers from the XX International Conference on Neuroinformatics, October 8-12, 2018, Moscow, Russia / / edited by Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko, Yury Tiumentsev
| Advances in Neural Computation, Machine Learning, and Cognitive Research II : Selected Papers from the XX International Conference on Neuroinformatics, October 8-12, 2018, Moscow, Russia / / edited by Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko, Yury Tiumentsev |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XVII, 344 p. 121 illus.) |
| Disciplina | 006.32 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Computational intelligence
Graph theory Control engineering Artificial intelligence Bioinformatics Computational Intelligence Graph Theory Control and Systems Theory Artificial Intelligence Computational and Systems Biology |
| ISBN | 3-030-01328-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910483077703321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 / / edited by Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko, Yury Tiumentsev
| 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 / / edited by Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko, Yury Tiumentsev |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XVII, 428 p. 210 illus., 120 illus. in color.) |
| Disciplina | 006.32 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Computational intelligence
Computer vision Control engineering Robotics Automation Artificial intelligence Bioinformatics Computational Intelligence Computer Vision Control, Robotics, Automation Artificial Intelligence Computational and Systems Biology |
| ISBN | 3-030-30425-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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. |
| Record Nr. | UNINA-9910483052803321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in Neural Computation, Machine Learning, and Cognitive Research V : Selected Papers from the XXIII International Conference on Neuroinformatics, October 18-22, 2021, Moscow, Russia / / edited by Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko, Yury Tiumentsev, Valentin V. Klimov
| Advances in Neural Computation, Machine Learning, and Cognitive Research V : Selected Papers from the XXIII International Conference on Neuroinformatics, October 18-22, 2021, Moscow, Russia / / edited by Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko, Yury Tiumentsev, Valentin V. Klimov |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (365 pages) : illustrations (some color) |
| Disciplina | 006.32 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Computational intelligence
Machine learning Automatic control Bionics Computational Intelligence Machine Learning Control and Systems Theory Bioinspired Technologies |
| ISBN | 3-030-91581-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910522977003321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in Neural Computation, Machine Learning, and Cognitive Research VI : Selected Papers from the XXIV International Conference on Neuroinformatics, October 17-21, 2022, Moscow, Russia / / edited by Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko, Yury Tiumentsev
| Advances in Neural Computation, Machine Learning, and Cognitive Research VI : Selected Papers from the XXIV International Conference on Neuroinformatics, October 17-21, 2022, Moscow, Russia / / edited by Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko, Yury Tiumentsev |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (585 pages) |
| Disciplina |
745.05
006.32 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Computational intelligence
Machine learning Computational neuroscience Computational Intelligence Machine Learning Computational Neuroscience |
| ISBN | 3-031-19032-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I: Neuroinformatics and Artificial Intelligence -- Tree Inventory with LiDAR Data -- Towards Reliable Solar Atmospheric Parameters Neural-Based Inference -- Addressing Task Prioritization in Model-based Reinforcement Learning -- Automatic Generation of Conversational Skills from Dialog Datasets -- Part II: Neural Networks and Cognitive Sciences. Adaptive Behavior and Evolutionary Simulation -- Individual Topology Structure of Eye Movement Trajectories -- Neural Network Providing the Involvement of Voluntary Attention into the Processing and Conscious Perception of Sensory Information -- Alpha Rhythm Dynamics During Spoken Word Recognition -- Robotic Devices Control Based on Neuromorphic Classifiers of Imaginary Motor Commands -- A Software System for Training Motor Imagery in Virtual Reality -- On the Importance of Diversity -- “MYO-chat” – A New Computer Control System for People with Disabilities -- Low-bit Quantization of Transformer for Audio Speech Recognition -- A Model of Predicting and Using Regularities by an Autonomous Agent -- A Review of One-Shot Neural Architecture Search Methods -- Does a Recurrent Neural Network Use Reflection During a Reflexive Game? -- A Gender Genetic Algorithm and its Comparison with Conventional Genetic Algorithm -- Associations of Morphometric Changes of the Brain with the Levels of IGF1, a Multifunctional Growth Factor, and with Systemic Immune Parameters Reflect the Disturbances of Neuroimmune Interactions in Patients with Schizophrenia -- Part III: Modern Methods and Technologies in Neurobiology -- Dynamics of Background and Evoked Activity of Neurons in the Auditory Cortex of the Unanaesthetized Cat -- Search for Markers of Moderate Cognitive Disorders through Phase Synchronization between Rhythmic Photostimulus and EEG Pattern -- Astrocytes Enhance Image Representation Encoded in Spiking Neural Network -- Classification of Neuron Type Based on Average Activity -- Comparative Analysis of Statistical and Neural Network Classification Methods on the Example of Synthesized Data in the Stimulus-Independent Brain-Computer Interface Paradigm -- Shunting Effect of Synaptic Channels Located on Presynaptic Terminal -- Analysis of Appearances, Formation and Evolution of Biological Functional Systems -- The Reinforcement Learning Theory, Value Function, and the Nature of Value Function Calculation by the Insular Cortex -- To the Role of Inferior Olives in Cerebellar Neuromechanics -- Individual Differences in Mismatch-Induced c-Fos Expression in the Retrosplenial Cortex in Rats: Shift in Activity is Layer-Specific -- Sleep of Poor and Good Nappers under the Afternoon Exposure to Weak 2-Hz/8-Hz Electromagnetic Fields -- Part IV: Applications of Neural Networks -- Classification of Light Microscopy Image Using Probabilistic Bayesian Neural Network -- SPICE Model of Analog Content-Addressable Memory Based on 2G FeFET Crossbar -- IQ-GAN: Instance Quantized Image Synthesis -- Specifics of Crossbar Resistor Arrays -- Recurrent and Graph Neural Networks for Particle Tracking at the BM@N Experiment -- Modeling of a Neural Network Algorithm for Suppressing Non-Stationary Interference in an Adaptive Antenna Array -- Learning Various Locomotion Skills from Scratch with Deep Reinforcement Learning -- Center3dAugNet: Effect of Rotation Representation on One-Stage Joint Car Detection and 6D-Pose Estimation -- Global memory transformer for processing long documents -- Development of the Convolutional Neural Network for Defining the Renal Pathology Using Computed Tomography Images -- Possibility of Using Various Architectures of Convolutional Neural Networks in the Problem of Determining the Type of Rhythm -- DeepPavlov Topics: Topic Classification Dataset for Conversational Domain in English -- Multi-Input Convolutional Neural Networks in Real-Time Semantic Segmentation Tasks -- Integration of Data and Algorithms in Solving Inverse Problems of Spectroscopy of Solutions by Machine Learning Methods -- Investigation of Pareto Front of Neural Network Approximation of Solution of Laplace Equation in Two Statements: with Discontinuous Initial Conditions or with Measurement Data? -- Multitask learning for extensive object description to improve scene understanding on monocular video -- Use of Classification Algorithms to Predict the Grade of Geomagnetic Disturbance -- Information processing in spiking neuron-astrocyte network in ageing -- Multilingual Case-insensitive Named Entity Recognition -- Multi-level Pipeline for Data Mining with Similar Structure -- Creating a Brief Review of Judicial Practice Using Clustering Methods -- Part V: Neural Network Theory, Concepts and Architectures -- "Gas” instead of “Liquid”: which Liquid State Machine is Better? -- Using a Resistor Array to Tackle Optimization Problems -- Generative Adversarial Networks as an Approach to Unsupervised Link Prediction Problem -- DGAC: Dialog Graph AutoConstruction up on Data with a Regular Structure -- Relay System of Differential Equations with Delay as a Perceptron Model -- Analysis of Predictive Capabilities of Adaptive Multilayer Models with Physics-Based Architecture for Duffing Oscillator? -- An Attempt to Formalize the Formulation of the Network Architecture Search Problem for Convolutional Neural Networks -- Use of Conditional Variational Autoencoders and Partial Least Squares in Solving an Inverse Problem of Spectroscopy -- On the Similarities between Denoising Diffusion Models and Autoencoders. |
| Record Nr. | UNINA-9910627241903321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||