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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 Neural Network-Based PCA: An Application to Approximation of a Distributed Parameter System
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    Chapter 2 Parallel Realisation of the Recurrent Multi Layer Perceptron Learning
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    Chapter 3 An Innovative Hybrid Neuro-wavelet Method for Reconstruction of Missing Data in Astronomical Photometric Surveys
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    Chapter 4 Speeding Up the Training of Neural Networks with CUDA Technology
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    Chapter 5 On the Uniform Convergence of the Orthogonal Series-Type Kernel Regression Neural Networks in a Time-Varying Environment
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    Chapter 6 On the Strong Convergence of the Orthogonal Series-Type Kernel Regression Neural Networks in a Non-stationary Environment
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    Chapter 7 On the Strong Convergence of the Recursive Orthogonal Series-Type Kernel Probabilistic Neural Networks Handling Time-Varying Noise
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    Chapter 8 Incidental Neural Networks as Nomograms Generators
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    Chapter 9 Selection of Activation Functions in the Last Hidden Layer of the Multilayer Perceptron
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    Chapter 10 Information Freedom and Associative Artificial Intelligence
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    Chapter 11 On the Application of the Parzen-Type Kernel Regression Neural Network and Order Statistics for Learning in a Non-stationary Environment
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    Chapter 12 On Learning in a Time-Varying Environment by Using a Probabilistic Neural Network and the Recursive Least Squares Method
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    Chapter 13 Binary Perceptron Learning Algorithm Using Simplex-Method
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    Chapter 14 Objects Auto-selection from Stereo-Images Realised by Self-Correcting Neural Network
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    Chapter 15 On-Line Trajectory-Based Linearisation of Neural Models for a Computationally Efficient Predictive Control Algorithm
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    Chapter 16 Short Time Series of Website Visits Prediction by RBF Neural Networks and Support Vector Machine Regression
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    Chapter 17 Spectra of the Spike-Flow Graphs in Geometrically Embedded Neural Networks
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    Chapter 18 Weak Convergence of the Parzen-Type Probabilistic Neural Network Handling Time-Varying Noise
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    Chapter 19 Strong Convergence of the Recursive Parzen-Type Probabilistic Neural Network Handling Nonstationary Noise
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    Chapter 20 Improving Performance of Self-Organising Maps with Distance Metric Learning Method
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    Chapter 21 Robust Neural Network for Novelty Detection on Data Streams
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    Chapter 22 Solving Differential Equations by Means of Feed-Forward Artificial Neural Networks
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    Chapter 23 Practical Application of Artificial Neural Networks in Designing Parameters of Steel Heat Treatment Processes
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    Chapter 24 A New Method for Dealing with Unbalanced Linguistic Term Set
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    Chapter 25 Fuzzy Clustering of Intuitionistic Fuzzy Data
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    Chapter 26 A New Method for Comparing Interval-Valued Intuitionistic Fuzzy Values
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    Chapter 27 The Use of Belief Intervals in Operations on Intuitionistic Fuzzy Values
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    Chapter 28 A Method of Fast Application of the Fuzzy PID Algorithm Using Industrial Control Device
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    Chapter 29 Implications on Ordered Fuzzy Numbers and Fuzzy Sets of Type Two
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    Chapter 30 Fuzzy Supervised Self-Organizing Map for Semi-supervised Vector Quantization
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    Chapter 31 Fuzzy Inference-Based Reliable Fall Detection Using Kinect and Accelerometer
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    Chapter 32 Defuzzification Functionals Are Homogeneous, Restrictive Additive and Normalized Functions
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    Chapter 33 Determining OWA Operator Weights by Mean Absolute Deviation Minimization
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    Chapter 34 Efficient MPC Algorithms Based on Fuzzy Wiener Models and Advanced Methods of Prediction Generation
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    Chapter 35 Evaluation of Health-Related Fitness Using Fuzzy Inference Elements
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    Chapter 36 Fuzzy Regression Compared to Classical Experimental Design in the Case of Flywheel Assembly
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    Chapter 37 A New Fuzzy Classifier for Data Streams
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    Chapter 38 Metasets: A New Approach to Partial Membership
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    Chapter 39 On an Enhanced Method for a More Meaningful Pearson’s Correlation Coefficient between Intuitionistic Fuzzy Sets
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    Chapter 40 Surface Area of Level-2 Fuzzy Regions
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    Chapter 41 Fuzzy Neural Gas for Unsupervised Vector Quantization
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    Chapter 42 Fuzzy Epoch-Incremental Reinforcement Learning Algorithm
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    Chapter 43 Statistically–Induced Kernel Function for Support Vector Machine Classifier
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    Chapter 44 Bandwidth Selection in Kernel Density Estimators for Multiple-Resolution Classification
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    Chapter 45 Competing Risks and Survival Tree Ensemble
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    Chapter 46 Sign Language Recognition Using Kinect
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    Chapter 47 Investigation of Rotation Forest Method Applied to Property Price Prediction
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    Chapter 48 Locally Optimized Kernels
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    Chapter 49 Application of Hierarchical Classifier to Minimal Synchronizing Word Problem
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    Chapter 50 Dimensionality Reduction Using External Context in Pattern Recognition Problems with Ordered Labels
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    Chapter 51 SVM with CUDA Accelerated Kernels for Big Sparse Problems
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    Chapter 52 Initialization of Nonnegative Matrix Factorization with Vertices of Convex Polytope
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    Chapter 53 Comparison of Corner Detectors for Revolving Objects Matching Task
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    Chapter 54 A Hierarchical Action Recognition System Applying Fisher Discrimination Dictionary Learning via Sparse Representation
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    Chapter 55 Do We Need Complex Models for Gestures? A Comparison of Data Representation and Preprocessing Methods for Hand Gesture Recognition
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    Chapter 56 Learning 3D AAM Fitting with Kernel Methods
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    Chapter 57 An Analytical Approach to the Image Reconstruction Problem Using EM Algorithm
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    Chapter 58 Recognition of Two-Dimensional Shapes Based on Dependence Vectors
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    Chapter 59 Ranking by K-Means Voting Algorithm for Similar Image Retrieval
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    Chapter 60 Shape Parametrization and Contour Curvature Using Method of Hurwitz-Radon Matrices
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    Chapter 61 Vision-Based Recognition of Fingerspelled Acronyms Using Hierarchical Temporal Memory
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    Chapter 62 Lip Tracking Method for the System of Audio-Visual Polish Speech Recognition
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    Chapter 63 Object Recognition Using Summed Features Classifier
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    Chapter 64 Novel Method for Parasite Detection in Microscopic Samples
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    Chapter 65 Lipreading Procedure Based on Dynamic Programming
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    Chapter 66 Meshes vs. Depth Maps in Face Recognition Systems
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    Chapter 67 Facial Expression Recognition for Detecting Human Aggression
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    Chapter 68 Combining Color and Haar Wavelet Responses for Aerial Image Classification
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    Chapter 69 Properties and Structure of Fast Text Search Engine in Context of Semantic Image Analysis
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    Chapter 70 Full Body Motion Tracking in Monocular Images Using Particle Swarm Optimization
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    Chapter 71 DriastSystem: A Computer Vision Based Device for Real Time Traffic Sign Detection and Recognition
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    Chapter 72 Real-Time Object Tracking Algorithm Employing On-Line Support Vector Machine and Multiple Candidate Regeneration
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    Chapter 73 On the Complexity of Shared Conceptualizations
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    Chapter 74 Local Controlled Vocabulary for Modern Web Service Description
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    Chapter 75 Semantics and Reasoning for Control Application Engineering Models
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    Chapter 76 MapReduce Approach to Collective Classification for Networks
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    Chapter 77 Artificial Intelligence and Soft Computing
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    Chapter 78 A Method for Tuning User Profiles Based on Analysis of User Preference Dynamics in Document Retrieval Systems
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    Chapter 79 A Term Normalization Method for Better Performance of Terminology Construction
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    Chapter 80 Stabilisation and Steering of Quadrocopters Using Fuzzy Logic Regulators
Overall attention for this book and its chapters
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Title
Artificial Intelligence and Soft Computing
Published by
Springer Berlin Heidelberg, April 2012
DOI 10.1007/978-3-642-29347-4
ISBNs
978-3-64-229346-7, 978-3-64-229347-4
Editors

Rutkowski, Leszek, Korytkowski, Marcin, Scherer, Rafał, Tadeusiewicz, Ryszard, Zadeh, Lotfi A., Zurada, Jacek M.

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Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 33%
Unknown 2 67%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 1 33%
Student > Ph. D. Student 1 33%
Researcher 1 33%
Readers by discipline Count As %
Social Sciences 2 67%
Business, Management and Accounting 1 33%