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Soft Computing and Industry

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Cover of 'Soft Computing and Industry'

Table of Contents

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    Book Overview
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    Chapter 1 Diagnosis and Control for Multi-agent Systems Using Immune Networks
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    Chapter 2 Universality and Complexity of Approximation of Multivariable Functions by Feedforward Networks
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    Chapter 3 The Supervised Learning No-Free-Lunch Theorems
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    Chapter 4 Making Evolutionary Design Optimisation Popular in Industry: Issues and Techniques
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    Chapter 5 Theory of Incursive Synchronization and Anticipatory Computing of Chaos
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    Chapter 6 Computing with Autopoietic Systems
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    Chapter 7 The Internet and Education: Forces at War?
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    Chapter 8 Soft Computing for Control of Dynamical Systems
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    Chapter 9 Holonic Scheduling for an Assembly Line
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    Chapter 10 Combining First Principles Models and Neural Networks for Generic Model Control
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    Chapter 11 Adaptive Model-Based Control of Non-Linear Plants using Neural Networks and Fuzzy Logic
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    Chapter 12 Intelligent Control of a Battery Charging Process with a Hybrid Approach
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    Chapter 13 A Breeder Genetic Algorithm for Adaptive Filter Optimization
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    Chapter 14 Intelligent Control of Robotic Autonomous Systems using a Neuro-Fuzzy-Genetic Approach
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    Chapter 15 Prediction of Power Requirement in Turning using a GA-Fuzzy Approach
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    Chapter 16 Predictive Control of a Nonlinear Process Using Multiple Models Optimization Based on Fast Evolutionary Programming
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    Chapter 17 Some Realisation Issues of Fuzzy Gain-Scheduling Controllers: a Robotic Manipulator Case Study
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    Chapter 18 Environmental Safety and Loss Prevention in Sulphur Tank with Fuzzy L 1 Norm Control
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    Chapter 19 Autotuning of a Fuzzy PID Controller Based on Fuzzy Gain and Phase Margins: Analysis and Design
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    Chapter 20 Two Automatic On-line New Schemes to Compensate the Torque Ripple of Switched Reluctance Machines: With and Without Torque Signal Measurement
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    Chapter 21 Applications of Neural Networks in Servo Systems - A Survey
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    Chapter 22 Some Methods of Clustering of Fuzzy Objects
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    Chapter 23 Integration of Enhanced Adaptive Fuzzy Clustering Algorithm with Probabilistic Technique for Dynamic Map Building
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    Chapter 24 Classification of Severe Storm Cells Using Support Vector Machines
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    Chapter 25 Fuzzy Clustering for the Identification of Compact Fuzzy Classifiers
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    Chapter 26 Multi-Constrained Nonlinear Optimization by the Differential Evolution Algorithm
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    Chapter 27 Genetic Algorithms for the Assembly Line Balancing Problem: A Real-World Automotive Application
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    Chapter 28 A Genetic Algorithm for the Uncapacitated Network Design Problem
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    Chapter 29 An Overview of Benchmarking Techniques for Multi-Objective Evolutionary Algorithms
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    Chapter 30 Fuzzy Cluster Loading for 3-way Data
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    Chapter 31 A Robust Multilevel Watermarking Method for Digital Images using Multiresolution Wavelet Decomposition
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    Chapter 32 Fuzzy Relational Pattern Dynamics of the Breast Cancer Cells
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    Chapter 33 Slope Constrained Shortest Path on Surface: A Stochastic Approach
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    Chapter 34 Design of Explicitly or Implicitly Parallel Low-resolution Character Recognition Algorithms by Means of Genetic Programming
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    Chapter 35 Low-Power Massively Parallel Feature Computation for Application-Specific Integrated Vision Systems
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    Chapter 36 Pulse Image Processing
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    Chapter 37 Soft Data Fusion in Image Processing
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    Chapter 38 Eigenspace-based Face Recognition
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    Chapter 39 Dimensionality Reduction and Interactive Visualization of Multivariate Data — Methods, Tools, Applications
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    Chapter 40 Developing Agent-Based Personalized Recommender Systems: An Experimental Study
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    Chapter 41 An Agent That Learns to Support Users of a Website
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    Chapter 42 ANTS: Automatic Navigation of Terrain Systems
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    Chapter 43 Greta: A Simple Facial Animation Engine
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    Chapter 44 Fast Text Compression Using Artificial Neural Networks
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    Chapter 45 Visualization of Data Using Genetic Algorithm
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    Chapter 46 Measuring Facial Emotional Expressions Using Genetic Programming
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    Chapter 47 Fuzzy Based Web Server Workload Modeling and Prediction
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    Chapter 48 Efficient and Precise Handling of a Piecewise-Linear Fuzzy Set on Computers in an Extended Knot Form
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    Chapter 49 Kansei Factor Analysis Using C4.5
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    Chapter 50 An Active Search Algorithm Extending GA Based Path Planning for Mobile Robot Systems
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    Chapter 51 Genetic Programming for Combining Neural Networks for Drug Discovery
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    Chapter 52 Training MLP Networks by the Differential Evolution Algorithm
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    Chapter 53 A Genetic Algorithm Based on Cell Loss for Dynamic Routing in ATM Networks
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    Chapter 54 Gene Expression Programming in Problem Solving
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    Chapter 55 Studies of the XCSI Classifier System on a Data Mining Problem
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    Chapter 56 Artificial chemistry - a new metaphor for evolutionary algorithms
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    Chapter 57 Immune System Simulation through a Complex Adaptive System Model
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    Chapter 58 The Effectiveness of Mutations: Simulation of Natural Mechanisms
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    Chapter 59 Root-Finding of Monotone Nonlinear Functions with Fuzzy Iterative Methods
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    Chapter 60 On Partitioned Fitness-Distributions of Genetic Operators for Predicting GA Performance
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    Chapter 61 A Comparative Assessment on the Application of Knowledge-based Networks and Genetic Algorithms to the Design of Fuzzy Diagnosis Systems for Rotating Machinery
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    Chapter 62 Evolution of a Tactile Wall-Following Behavior in Real Time
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    Chapter 63 Fuzzy-Memetic Approach for Prediction of Chaotic Time Series and Nonlinear Identification
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    Chapter 64 Finite-Element Mesh Adaptation via Time Series Prediction Using Neural Networks
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    Chapter 65 Multi-Objective Genetic Algorithms on Financial Ratio Selection for Earning Forecast
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    Chapter 66 Hybrid Genetic Algorithm for VLSI Macro Cell Layout
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    Chapter 67 Artificial Neural Networks Modeling as an Industrial Plant Fault Diagnostic Tool
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    Chapter 68 An Application of Genetic Programming to Electronic Design Automation: from Frequency Specifications to VHDL Code
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    Chapter 69 A Comparision of Soft Computing Methods for Reservoir Simulation
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    Chapter 70 Multistage Decision Making for a Fuzzy Automaton by Simulated Annealing
Overall attention for this book and its chapters
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Mentioned by

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Citations

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Readers on

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25 Mendeley
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Title
Soft Computing and Industry
Published by
Springer London, December 2012
DOI 10.1007/978-1-4471-0123-9
ISBNs
978-1-4471-1101-6, 978-1-4471-0123-9
Editors

Roy, Rajkumar, Köppen, Mario, Ovaska, Seppo, Furuhashi, Takeshi, Hoffmann, Frank

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 20%
Student > Master 4 16%
Researcher 4 16%
Professor 3 12%
Student > Bachelor 2 8%
Other 4 16%
Unknown 3 12%
Readers by discipline Count As %
Computer Science 9 36%
Engineering 7 28%
Environmental Science 1 4%
Sports and Recreations 1 4%
Earth and Planetary Sciences 1 4%
Other 2 8%
Unknown 4 16%