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Advances in Neural Computation, Machine Learning, and Cognitive Research

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

Table of Contents

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    Book Overview
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    Chapter 1 The Analysis of Regularization in Deep Neural Networks Using Metagraph Approach
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    Chapter 2 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
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    Chapter 3 Multi-Layer Solution of Heat Equation
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    Chapter 4 Implementation of a Gate Neural Network Based on Combinatorial Logic Elements
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    Chapter 5 Adaptive Gateway Element Based on a Recurrent Neurodynamical Model
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    Chapter 6 Common Sense Knowledge in Large Scale Neural Conversational Models
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    Chapter 7 Prospects for the Development of Neuromorphic Systems
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    Chapter 8 Pulse Neuron Learning Rules for Processing of Dynamical Variables Encoded by Pulse Trains
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    Chapter 9 Information Environment for Neural-Network Adaptive Control System
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    Chapter 10 Neural Network Semi-empirical Modeling of the Longitudinal Motion for Maneuverable Aircraft and Identification of Its Aerodynamic Characteristics
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    Chapter 11 Dump Truck Fault’s Short-Term Forecasting Based on the Multi-agent Adaptive Fuzzy Neuronet
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    Chapter 12 Object Detection on Images in Docking Tasks Using Deep Neural Networks
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    Chapter 13 Detection of Neurons on Images of the Histological Slices Using Convolutional Neural Network
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    Chapter 14 Constructing a Neural-Net Model of Network Traffic Using the Topologic Analysis of Its Time Series Complexity
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    Chapter 15 Texture Recognition from Positions of the Theory of Active Perceptions
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    Chapter 16 Method of Calculation of Upper Bound of Learning Rate for Neural Tuner to Control DC Drive
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    Chapter 17 Intelligent Diagnostics of Mechatronic System Components of Career Excavators in Operation
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    Chapter 18 Emotion Recognition in Sound
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    Chapter 19 The Classification of Objects Based on a Model of Perception
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    Chapter 20 An Approach to Use Convolutional Neural Network Features in Eye-Brain-Computer-Interface
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    Chapter 21 Semi-empirical Neural Network Model of Real Thread Sagging
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    Chapter 22 Color or Luminance Contrast – What Is More Important for Vision?
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    Chapter 23 Synchrony of Cortical Alpha and Beta Oscillations
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    Chapter 24 Processes of Self-organization in the Community of Investors and Producers
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    Chapter 25 Complexity of Heart Rate During More and Less Differentiated Behaviors
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    Chapter 26 Comparison of Some Fractal Analysis Methods for Studying the Spontaneous Activity in Medullar Auditory Units
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    Chapter 27 Synapse as a Multi-component and Multi-level Information System
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    Chapter 28 Effect of Persistent Sodium Current on Neuronal Activity
Overall attention for this book and its chapters
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Mentioned by

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4 news outlets
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1 blog
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14 tweeters

Citations

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Title
Advances in Neural Computation, Machine Learning, and Cognitive Research
Published by
Springer, Cham, January 2017
DOI 10.1007/978-3-319-66604-4
ISBNs
978-3-31-966603-7, 978-3-31-966604-4
Editors

Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko

Twitter Demographics

The data shown below were collected from the profiles of 14 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Unknown 33 100%
Readers by discipline Count As %
Unknown 33 100%