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Artificial Intelligence and Soft Computing

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Cover of 'Artificial Intelligence and Soft Computing'

Table of Contents

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    Book Overview
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    Chapter 1 SpikeletFCN: Counting Spikelets from Infield Wheat Crop Images Using Fully Convolutional Networks
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    Chapter 2 Modifications of the Givens Training Algorithm for Artificial Neural Networks
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    Chapter 3 Deep Neural Networks Applied to the Dynamic Helper System in a GPGPU
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    Chapter 4 Combining Neural and Knowledge-Based Approaches to Named Entity Recognition in Polish
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    Chapter 5 Sensitivity Analysis of the Neural Networks Randomized Learning
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    Chapter 6 On Approximating Metric Nearness Through Deep Learning
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    Chapter 7 Smart Well Data Generation via Boundary-Seeking Deep Convolutional Generative Adversarial Networks
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    Chapter 8 Resilient Environmental Monitoring Utilizing a Machine Learning Approach
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    Chapter 9 Study of Learning Ability in Profit Sharing Using Convolutional Neural Network
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    Chapter 10 Neural Net Model Predictive Controller for Adaptive Active Vibration Suppression of an Unknown System
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    Chapter 11 Robust Training of Radial Basis Function Neural Networks
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    Chapter 12 Sequential Data Mining of Network Traffic in URL Logs
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    Chapter 13 On Learning and Convergence of RBF Networks in Regression Estimation and Classification
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    Chapter 14 Application of Deep Neural Networks to Music Composition Based on MIDI Datasets and Graphical Representation
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    Chapter 15 Dense Multi-focus Fusion Net: A Deep Unsupervised Convolutional Network for Multi-focus Image Fusion
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    Chapter 16 Microscopic Sample Segmentation by Fully Convolutional Network for Parasite Detection
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    Chapter 17 Application of Spiking Neural Networks to Fashion Classification
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    Chapter 18 Text Language Identification Using Attention-Based Recurrent Neural Networks
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    Chapter 19 Filter Pruning for Efficient Transfer Learning in Deep Convolutional Neural Networks
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    Chapter 20 Regularized Learning of Neural Network with Application to Sparse PCA
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    Chapter 21 Trimmed Robust Loss Function for Training Deep Neural Networks with Label Noise
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    Chapter 22 On Proper Designing of Deep Structures for Image Classification
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    Chapter 23 Constructive Cascade Learning Algorithm for Fully Connected Networks
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    Chapter 24 Generative Adversarial Networks: Recent Developments
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    Chapter 25 Fuzzy Modeling in the Task of Control Cartographic Visualization
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    Chapter 26 Method for Generalization of Fuzzy Sets
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    Chapter 27 The 2-Additive Choquet Integral of Bi-capacities
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    Chapter 28 A New Class of Uninorm Aggregation Operations for Fuzzy Theory
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    Chapter 29 Different Forms of Generalized Hypothetical Syllogism with Regard to R-Implications
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    Chapter 30 A Fuzzy-Dynamic Bayesian Network Approach for Inference Filtering
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    Chapter 31 The Estimation of Uncertain Gates: An Application to Educational Indicators
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    Chapter 32 Fuzzy Reasoning in Control and Diagnostics of a Turbine Engine – A Case Study
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    Chapter 33 Application of Type-2 Fuzzy Sets for Analyzing Production Processes
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    Chapter 34 On Explainable Recommender Systems Based on Fuzzy Rule Generation Techniques
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    Chapter 35 Different Aggregation Modes Applications Within the Framework of Weights Uncertainty
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    Chapter 36 Fuzzy Clustering High-Dimensional Data Using Information Weighting
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    Chapter 37 Solving the Software Project Scheduling Problem with Hyper-heuristics
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    Chapter 38 Influence of Social Coefficient on Swarm Motion
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    Chapter 39 An Evaluative Study of Adaptive Control of Population Size in Differential Evolution
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    Chapter 40 A New Hybrid Particle Swarm Optimization and Evolutionary Algorithm
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    Chapter 41 Evolutionary Algorithms Applied to a Shielding Enclosure Design
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    Chapter 42 Hybrid Multi-population Based Approach for Controllers Structure and Parameters Selection
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    Chapter 43 Improving Population Diversity Through Gene Methylation Simulation
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    Chapter 44 Strategizing Game Playing Using Evolutionary Approach
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    Chapter 45 Using the Evolutionary Computation Approach in the Initial Phase of Protocol Discovering
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    Chapter 46 Population Diversity Analysis in Adaptive Differential Evolution Variants with Unconventional Randomization Schemes
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    Chapter 47 Analyzing Control Parameters in DISH
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    Chapter 48 Iterative Design and Implementation of Rapid Gradient Descent Method
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    Chapter 49 The Method of Predicting Changes of a Dynamic Signature Using Possibilities of Population-Based Algorithms
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    Chapter 50 Application of Elastic Principal Component Analysis to Person Recognition Based on Screen Gestures
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    Chapter 51 Sentiment Analysis of YouTube Video Comments Using Deep Neural Networks
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    Chapter 52 Layered Geometric Learning
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    Chapter 53 Fast Algorithm for Prototypes Selection—Trust-Margin Prototypes
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    Chapter 54 Classifying Image Sequences with the Markov Chain Structure and Matrix Normal Distributions
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    Chapter 55 The Elastic k-Nearest Neighbours Classifier for Touch Screen Gestures
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    Chapter 56 Whole Image and Modular Image Face Classification - What is Really Classified?
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    Chapter 57 Classifier Selection for Highly Imbalanced Data Streams with Minority Driven Ensemble
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    Chapter 58 On Sympathy and Symphony: Network-Oriented Modeling of the Adaptive Dynamics of Sympathy States
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    Chapter 59 Analysis of Large Scale Power Systems via LASSO Learning Algorithms
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    Chapter 60 Pattern-Based Forecasting Monthly Electricity Demand Using Multilayer Perceptron
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    Chapter 61 Squirrel-Cage Induction Motor Malfunction Detection Using Computational Intelligence Methods
Attention for Chapter 54: Classifying Image Sequences with the Markov Chain Structure and Matrix Normal Distributions
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Chapter title
Classifying Image Sequences with the Markov Chain Structure and Matrix Normal Distributions
Chapter number 54
Book title
Artificial Intelligence and Soft Computing
Published by
Springer, Cham, May 2019
DOI 10.1007/978-3-030-20912-4_54
Book ISBNs
978-3-03-020911-7, 978-3-03-020912-4
Authors

Ewaryst Rafajłowicz

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 %
Professor 1 50%
Student > Ph. D. Student 1 50%
Readers by discipline Count As %
Engineering 1 50%
Unknown 1 50%