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Soft Computing in Industrial Applications

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Cover of 'Soft Computing in Industrial Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Advanced Methods for 3D Magnetic Localization in Industrial Process Distributed Data-Logging with a Sparse Distance Matrix
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    Chapter 2 Neural Network Ensemble Based on Feature Selection for Non-Invasive Recognition of Liver Fibrosis Stage
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    Chapter 3 Cooperative and Non-cooperative Equilibrium Problems with Equilibrium Constraints: Applications in Economics and Transportation
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    Chapter 4 Statistical Genetic Programming: The Role of Diversity
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    Chapter 5 Breast MRI Tumour Segmentation Using Modified Automatic Seeded Region Growing Based on Particle Swarm Optimization Image Clustering
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    Chapter 6 Differential Evolution and Tabu Search to Find Multiple Solutions of Multimodal Optimization Problems
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    Chapter 7 A New RBFNDDA-KNN Network and Its Application to Medical Pattern Classification
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    Chapter 8 An Approach to Fuzzy Modeling of Anti-lock Braking Systems
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    Chapter 9 An Improved Evolutionary Algorithm to Sequence Operations on an ASRS Warehouse
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    Chapter 10 Fuzzy Reliability Analysis of Washing Unit in a Paper Plant Using Soft-Computing Based Hybridized Techniques
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    Chapter 11 Multi-objective Algorithms for the Single Machine Scheduling Problem with Sequence-dependent Family Setups
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    Chapter 12 Multi-Sensor Soft-Computing System for Driver Drowsiness Detection
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    Chapter 13 A New Evolving Tree for Text Document Clustering and Visualization
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    Chapter 14 Brain–Computer Interface Based on Motor Imagery: The Most Relevant Sources of Electrical Brain Activity
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    Chapter 15 A Single Input Rule Modules Connected Fuzzy FMEA Methodology for Edible Bird Nest Processing
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    Chapter 16 A Novel Energy-Efficient and Distance-Based Clustering Approach for Wireless Sensor Networks
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    Chapter 17 Characterization of Coronary Plaque by Using 2D Frequency Histogram of RF Signal
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    Chapter 18 Face Recognition Using Convolutional Neural Network and Simple Logistic Classifier
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    Chapter 19 Continuous Features Discretization for Anomaly Intrusion Detectors Generation
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    Chapter 20 Visualisation of High Dimensional Data by Use of Genetic Programming: Application to On-line Infrared Spectroscopy Based Process Monitoring
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    Chapter 21 Radial Basis Artificial Neural Network Models for Predicting Solubility Index of Roller Dried Goat Whole Milk Powder
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    Chapter 22 Online Prediction of Wear on Rolls of a Bar Rolling Mill Based on Semi-Analytical Equations and Artificial Neural Networks
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    Chapter 23 Real-Time Analysis of Non-stationary and Complex Network Related Data for Injection Attempts Detection
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    Chapter 24 Recommending People to Follow Using Asymmetric Factor Models with Social Graphs
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    Chapter 25 Air Travel Demand Fuzzy Modelling: Trip Generation and Trip Distribution
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    Chapter 26 Design of Priority Transportation Corridor Under Uncertainty
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    Chapter 27 Application of Data Fusion for Route Choice Modelling by Route Choice Driving Simulator
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    Chapter 28 Sustainability Evaluation of Transportation Policies: A Fuzzy-Based Method in a “What to” Analysis
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    Chapter 29 Artificial Bee Colony-Based Algorithm for Optimising Traffic Signal Timings
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    Chapter 30 Use of Fuzzy Logic Traffic Signal Control Approach as Dual Lane Ramp Metering Model for Freeways
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    Chapter 31 The Variable Neighborhood Search Heuristic for the Containers Drayage Problem with Time Windows
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    Chapter 32 Solving the Team Orienteering Problem: Developing a Solution Tool Using a Genetic Algorithm Approach
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    Chapter 33 Use of Fuzzy Optimization and Linear Goal Programming Approaches in Urban Bus Lines Organization
Attention for Chapter 20: Visualisation of High Dimensional Data by Use of Genetic Programming: Application to On-line Infrared Spectroscopy Based Process Monitoring
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Chapter title
Visualisation of High Dimensional Data by Use of Genetic Programming: Application to On-line Infrared Spectroscopy Based Process Monitoring
Chapter number 20
Book title
Soft Computing in Industrial Applications
Published by
Springer, Cham, January 2014
DOI 10.1007/978-3-319-00930-8_20
Book ISBNs
978-3-31-900929-2, 978-3-31-900930-8
Authors

Tibor Kulcsar, Gabor Bereznai, Gabor Sarossy, Robert Auer, Janos Abonyi

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Professor 2 22%
Student > Ph. D. Student 2 22%
Lecturer 1 11%
Student > Master 1 11%
Researcher 1 11%
Other 1 11%
Unknown 1 11%
Readers by discipline Count As %
Computer Science 3 33%
Engineering 2 22%
Biochemistry, Genetics and Molecular Biology 1 11%
Unknown 3 33%