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Artificial Intelligence and Soft Computing

Overview of attention for book
Cover of 'Artificial Intelligence and Soft Computing'

Table of Contents

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    Book Overview
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    Chapter 1 Parallel Approach to the Levenberg-Marquardt Learning Algorithm for Feedforward Neural Networks
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    Chapter 2 Microarray Leukemia Gene Data Clustering by Means of Generalized Self-organizing Neural Networks with Evolving Tree-Like Structures
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    Chapter 3 Innovative Types and Abilities of Neural Networks Based on Associative Mechanisms and a New Associative Model of Neurons
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    Chapter 4 Complexity of Shallow Networks Representing Finite Mappings
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    Chapter 5 Probabilistic Neural Network Training Procedure with the Use of SARSA Algorithm
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    Chapter 6 Extensions of Hopfield Neural Networks for Solving of Stereo-Matching Problem
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    Chapter 7 Molecular Approach to Hopfield Neural Network
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    Chapter 8 Toward Work Groups Classification Based on Probabilistic Neural Network Approach
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    Chapter 9 Adaptation of RBM Learning for Intel MIC Architecture
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    Chapter 10 Using an Artificial Neural Network to Predict Loop Transformation Time
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    Chapter 11 Using Parity-N Problems as a Way to Compare Abilities of Shallow, Very Shallow and Very Deep Architectures
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    Chapter 12 Product Multi-kernels for Sensor Data Analysis
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    Chapter 13 A Fuzzy Approach to Competitive Clusters Using Moore Families
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    Chapter 14 A Fingerprint Retrieval Technique Using Fuzzy Logic-Based Rules
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    Chapter 15 Initial Comparison of Formal Approaches to Fuzzy and Rough Sets
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    Chapter 16 Comparative Approach to the Multi-Valued Logic Construction for Preferences
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    Chapter 17 Learning Rules for Type-2 Fuzzy Logic System in the Control of DeNOx Filter
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    Chapter 18 Selected Applications of P1-TS Fuzzy Rule-Based Systems
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    Chapter 19 Fuzzy Agglomerative Clustering
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    Chapter 20 An Exponential-Type Entropy Measure on Intuitionistic Fuzzy Sets
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    Chapter 21 Comparative Analysis of MCDM Methods for Assessing the Severity of Chronic Liver Disease
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    Chapter 22 Solving Zadeh’s Challenge Problems with the Application of RDM-Arithmetic
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    Chapter 23 The Directed Compatibility Between Ordered Fuzzy Numbers - A Base Tool for a Direction Sensitive Fuzzy Information Processing
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    Chapter 24 Learning Rules for Hierarchical Fuzzy Logic Systems with Selective Fuzzy Controller Activation
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    Chapter 25 A New Approach to the Rule-Base Evidential Reasoning with Application
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    Chapter 26 Bias-Correction Fuzzy C-Regressions Algorithm
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    Chapter 27 Interval Type-2 Locally Linear Neuro Fuzzy Model Based on Locally Linear Model Tree
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    Chapter 28 Hybrids of Two-Subpopulation PSO Algorithm with Local Search Methods for Continuous Optimization
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    Chapter 29 Parallel Coevolutionary Algorithm for Three-Dimensional Bin Packing Problem
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    Chapter 30 Adaptive Differential Evolution: SHADE with Competing Crossover Strategies
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    Chapter 31 A Parallel Approach for Evolutionary Induced Decision Trees. MPI+OpenMP Implementation
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    Chapter 32 Automatic Grammar Induction for Grammar Based Genetic Programming
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    Chapter 33 On the Ability of the One-Point Crossover Operator to Search the Space in Genetic Algorithms
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    Chapter 34 Multiple Choice Strategy for PSO Algorithm Enhanced with Dimensional Mutation
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    Chapter 35 A Hybrid Differential Evolution-Gradient Optimization Method
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    Chapter 36 On the Tuning of Complex Dynamics Embedded into Differential Evolution
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    Chapter 37 Mathematical Characterization of Sophisticated Variants for Relevance Learning in Learning Matrix Quantization Based on Schatten-p-norms
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    Chapter 38 Adaptive Active Learning with Ensemble of Learners and Multiclass Problems
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    Chapter 39 Orthogonal Series Estimation of Regression Functions in Nonstationary Conditions
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    Chapter 40 A Comparison of Shallow Decision Trees Under Real-Boost Procedure with Application to Landmine Detection Using Ground Penetrating Radar
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    Chapter 41 A New Interpretability Criteria for Neuro-Fuzzy Systems for Nonlinear Classification
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    Chapter 42 Multi-class Nearest Neighbour Classifier for Incomplete Data Handling
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    Chapter 43 Cross-Entropy Clustering Approach to One-Class Classification
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    Chapter 44 Comparison of the Efficiency of Time and Frequency Descriptors Based on Different Classification Conceptions
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    Chapter 45 CNC Milling Tool Head Imbalance Prediction Using Computational Intelligence Methods
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    Chapter 46 A Feature-Based Machine Learning Agent for Automatic Rice and Weed Discrimination
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    Chapter 47 Relation of Average Error in Prolate Spheroidal Wave Functions Algorithm for Bandlimited Functions Approximation to Radius of Information
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    Chapter 48 Algebraic Logical Meta-Model of Decision Processes - New Metaheuristics
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    Chapter 49 Specific Object Detection Scheme Based on Descriptors Fusion Using Belief Functions
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    Chapter 50 Video Key Frame Detection Based on SURF Algorithm
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    Chapter 51 Automatic Diagnosis of Melanoid Skin Lesions Using Machine Learning Methods
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    Chapter 52 An Edge Detection Using 2D Gaussian Function in Computed Tomography
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    Chapter 53 Facial Displays Description Schemas for Smiling vs. Neutral Emotion Recognition
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    Chapter 54 Image Segmentation in Liquid Argon Time Projection Chamber Detector
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    Chapter 55 Massively Parallel Change Detection with Application to Visual Quality Control
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    Chapter 56 A Fuzzy Logic Approach for Gender Recognition from Face Images with Embedded Bandlets
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    Chapter 57 Interpretation of Image Segmentation in Terms of Justifiable Granularity
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    Chapter 58 Information Granules in Application to Image Recognition
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    Chapter 59 Can We Process 2D Images Using Artificial Bee Colony?
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    Chapter 60 Improving Effectiveness of SVM Classifier for Large Scale Data
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    Chapter 61 Reducing Time Complexity of SVM Model by LVQ Data Compression
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    Chapter 62 Secure Representation of Images Using Multi-layer Compression
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    Chapter 63 Image Indexing and Retrieval Using GSOM Algorithm
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    Chapter 64 Multi-layer Architecture For Storing Visual Data Based on WCF and Microsoft SQL Server Database
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    Chapter 65 Object Localization Using Active Partitions and Structural Description
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    Chapter 66 Supervised Transform Learning for Face Recognition
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    Chapter 67 Fast Dictionary Matching for Content-Based Image Retrieval
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    Chapter 68 Recognition and Modeling of Atypical Children Behavior
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    Chapter 69 Intelligent Fusion of Infrared and Visible Spectrum for Video Surveillance Application
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    Chapter 70 Visual Saccades for Object Recognition
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    Chapter 71 Improving Image Processing Performance Using Database User-Defined Functions
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    Chapter 72 Erratum to: Massively Parallel Change Detection with Application to Visual Quality Control
Attention for Chapter 2: Microarray Leukemia Gene Data Clustering by Means of Generalized Self-organizing Neural Networks with Evolving Tree-Like Structures
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Chapter title
Microarray Leukemia Gene Data Clustering by Means of Generalized Self-organizing Neural Networks with Evolving Tree-Like Structures
Chapter number 2
Book title
Artificial Intelligence and Soft Computing
Published by
Springer International Publishing, January 2015
DOI 10.1007/978-3-319-19324-3_2
Book ISBNs
978-3-31-919323-6, 978-3-31-919324-3
Authors

Marian B. Gorzałczany, Jakub Piekoszewski, Filip Rudziński

Editors

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

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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 %
Student > Ph. D. Student 1 50%
Unknown 1 50%
Readers by discipline Count As %
Computer Science 1 50%
Unknown 1 50%

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