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Advances in Neural Computation, Machine Learning, and Cognitive Research III

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Cover of 'Advances in Neural Computation, Machine Learning, and Cognitive Research III'

Table of Contents

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    Book Overview
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    Chapter 1 Deep Learning a Single Photo Voxel Model Prediction from Real and Synthetic Images
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    Chapter 2 Tensor Train Neural Networks in Retail Operations
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    Chapter 3 Semi-empirical Neural Network Based Modeling and Identification of Controlled Dynamical Systems
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    Chapter 4 Photovoltaic System Control Model on the Basis of a Modified Fuzzy Neural Net
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    Chapter 5 Impact of Assistive Control on Operator Behavior Under High Operational Load
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    Chapter 6 Hierarchical Actor-Critic with Hindsight for Mobile Robot with Continuous State Space
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    Chapter 7 The Hybrid Intelligent Information System for Music Classification
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    Chapter 8 The Hybrid Intelligent Information System for Poems Generation
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    Chapter 9 Is Information Density a Reliable Universal Predictor of Eye Movement Patterns in Silent Reading?
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    Chapter 10 Bistable Perception of Ambiguous Images – Analytical Model
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    Chapter 11 Video-Computer Technology of Real Time Vehicle Driver Fatigue Monitoring
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    Chapter 12 Consistency Across Functional Connectivity Methods and Graph Topological Properties in EEG Sensor Space
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    Chapter 13 Evolutionary Minimization of Spin Glass Energy
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    Chapter 14 Comparison of Two Models of a Transparent Competitive Economy
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    Chapter 15 Spectral Parameters of Heart Rate Variability as Indicators of the System Mismatch During Solving Moral Dilemmas
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    Chapter 16 The Role of Brain Stem Structures in the Vegetative Reactions Based on fMRI Analysis
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    Chapter 17 Ordering of Words by the Spoken Word Recognition Time
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    Chapter 18 A Novel Avoidance Test Setup: Device and Exemplary Tasks
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    Chapter 19 Direction Selectivity Model Based on Lagged and Nonlagged Neurons
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    Chapter 20 Wavelet and Recurrence Analysis of EEG Patterns of Subjects with Panic Attacks
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    Chapter 21 Two Delay-Coupled Neurons with a Relay Nonlinearity
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    Chapter 22 Brain Extracellular Matrix Impact on Neuronal Firing Reliability and Spike-Timing Jitter
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    Chapter 23 Contribution of the Dorsal and Ventral Visual Streams to the Control of Grasping
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    Chapter 24 The Simple Approach to Multi-label Image Classification Using Transfer Learning
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    Chapter 25 Application of Deep Neural Network for the Vision System of Mobile Service Robot
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    Chapter 26 Research on Convolutional Neural Network for Object Classification in Outdoor Video Surveillance System
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    Chapter 27 Post-training Quantization of Deep Neural Network Weights
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    Chapter 28 Deep-Learning Approach for McIntosh-Based Classification Of Solar Active Regions Using HMI and MDI Images
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    Chapter 29 Deep Learning for ECG Segmentation
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    Chapter 30 Competitive Maximization of Neuronal Activity in Convolutional Recurrent Spiking Neural Networks
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    Chapter 31 A Method of Choosing a Pre-trained Convolutional Neural Network for Transfer Learning in Image Classification Problems
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    Chapter 32 The Usage of Grayscale or Color Images for Facial Expression Recognition with Deep Neural Networks
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    Chapter 33 Use of Wavelet Neural Networks to Solve Inverse Problems in Spectroscopy of Multi-component Solutions
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    Chapter 34 Automated Determination of Forest-Vegetation Characteristics with the Use of a Neural Network of Deep Learning
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    Chapter 35 Depth Mapping Method Based on Stereo Pairs
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    Chapter 36 Semantic Segmentation of Images Obtained by Remote Sensing of the Earth
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    Chapter 37 Diagnostics of Water-Ethanol Solutions by Raman Spectra with Artificial Neural Networks: Methods to Improve Resilience of the Solution to Distortions of Spectra
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    Chapter 38 Metaphorical Modeling of Resistor Elements
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    Chapter 39 Semi-empirical Neural Network Models of Hypersonic Vehicle 3D-Motion Represented by Index 2 DAE
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    Chapter 40 Style Transfer with Adaptation to the Central Objects of the Scene
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    Chapter 41 The Construction of the Approximate Solution of the Chemical Reactor Problem Using the Feedforward Multilayer Neural Network
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    Chapter 42 Linear Prediction Algorithms for Lossless Audio Data Compression
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    Chapter 43 Approach to Forecasting Behaviour of Dynamic System Beyond Borders of Education
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    Chapter 44 Towards Automatic Manipulation of Arbitrary Structures in Connectivist Paradigm with Tensor Product Variable Binding
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    Chapter 45 Astrocytes Organize Associative Memory
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    Chapter 46 Team of Neural Networks to Detect the Type of Ignition
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    Chapter 47 Chaotic Spiking Neural Network Connectivity Configuration Leading to Memory Mechanism Formation
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    Chapter 48 The Large-Scale Symmetry Learning Applying Pavlov Principle
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    Chapter 49 Bimodal Coalitions and Neural Networks
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    Chapter 50 Building Neural Network Synapses Based on Binary Memristors
Overall attention for this book and its chapters
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Title
Advances in Neural Computation, Machine Learning, and Cognitive Research III
Published by
Springer International Publishing, November 2019
DOI 10.1007/978-3-030-30425-6
ISBNs
978-3-03-030424-9, 978-3-03-030425-6
Editors

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

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X Demographics

The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 25%
Student > Master 2 25%
Student > Doctoral Student 1 13%
Other 1 13%
Unknown 2 25%
Readers by discipline Count As %
Neuroscience 3 38%
Mathematics 1 13%
Social Sciences 1 13%
Medicine and Dentistry 1 13%
Unknown 2 25%