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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 5: Probabilistic Neural Network Training Procedure with the Use of SARSA Algorithm
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Chapter title
Probabilistic Neural Network Training Procedure with the Use of SARSA Algorithm
Chapter number 5
Book title
Artificial Intelligence and Soft Computing
Published by
Springer International Publishing, January 2015
DOI 10.1007/978-3-319-19324-3_5
Book ISBNs
978-3-31-919323-6, 978-3-31-919324-3
Authors

Maciej Kusy, Roman Zajdel

Editors

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

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 25%
Student > Master 1 25%
Unknown 2 50%
Readers by discipline Count As %
Medicine and Dentistry 1 25%
Unknown 3 75%

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