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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
Attention for Chapter 3: Multi-Layer Solution of Heat Equation
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Chapter title
Multi-Layer Solution of Heat Equation
Chapter number 3
Book title
Advances in Neural Computation, Machine Learning, and Cognitive Research
Published by
Springer, Cham, October 2017
DOI 10.1007/978-3-319-66604-4_3
Book ISBNs
978-3-31-966603-7, 978-3-31-966604-4
Authors

Tatiana Lazovskaya, Dmitry Tarkhov, Alexander Vasilyev

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Other 1 50%
Unknown 1 50%
Readers by discipline Count As %
Agricultural and Biological Sciences 1 50%
Unknown 1 50%