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Author:   Leszek Rutkowski ,  Marcin Korytkowski ,  Rafal Scherer ,  Ryszard Tadeusiewicz
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   2015 ed.
Volume:   9119
Dimensions:   Width: 15.50cm , Height: 4.20cm , Length: 23.50cm
Weight:   1.252kg
ISBN:  

9783319193236

ISBN 10:   3319193236
Pages:   804
Publication Date:   22 May 2015
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
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Table of Contents

Neural Networks and Their Applications.- Parallel approach to the Levenberg-Marquardt learning algorithm for feed forward neural networks.- Microarray Leukemia Gene Data Clustering by Means of Generalized Self-Organizing Neural Networks with Evolving Tree-Like Structures.- Innovative Types and Abilities of Neural Networks Based on Associative Mechanisms and a New Associative Model of Neurons.- Complexity of shallow networks representing finite mappings.- Probabilistic Neural Network Training Procedure with the Use of SARSA Algorithm.- Extensions of Hopeld Neural Networks for solving of stereo-matching Problem.- Molecular approach to Hopeld neural network.- Toward work groups classification based on probabilistic neural network Approach.- Adaptation of RBM learning for Intel MIC architecture.- Using an Artificial Neural Network to Predict Loop Transformation Time.- Using Parity-N problems as a way to compare abilities of shallow, very shallow and very deep architectures.- Product Multi-kernels for Sensor Data Analysis.- Fuzzy Systems and Their Applications.- A Fuzzy Approach to Competitive Clusters Using Moore Families.- A Fingerprint Retrieval Technique using Fuzzy Logic-based Rules.- Initial Comparison of Formal Approaches to Fuzzy and Rough Sets.- Comparative approach to the multi-valued logic construction for Preferences.- Learning Rules for Type-2 Fuzzy Logic System in The Control of DeNOx Filter.- Selected Applications of P1-TS Fuzzy Rule-Based Systems.- Fuzzy Agglomerative Clustering.- An exponential-type entropy measure on intuitionistic fuzzy sets.- Comparative Analysis of MCDM Methods for Assessing the Severity of Chronic Liver Disease.- Solving Zadeh's challenge problems with the application of RDM-arithmetic.- The Directed Compatibility Between Ordered Fuzzy Numbers - a Base Tool for a Direction Sensitive Fuzzy Information Processing.- Learning Rules for Hierarchical Fuzzy Logic Systems with Selective Fuzzy Controller Activation.- A new approachto the rule-base evidential reasoning with application.- Bias-correction fuzzy c-regressions algorithm.- Interval Type-2 Locally Linear Neuro Fuzzy Model based on Locally Linear Model Tree.- Evolutionary Algorithms and Their Applications.- Hybrids of two-subpopulation PSO algorithm with local search methods for continuous optimization.- Parallel coevolutionary algorithm for three-dimensional bin packing Problem.- Adaptive Differential Evolution: SHADE with Competing Crossover Strategies.- A Parallel Approach for Evolutionary Induced Decision Trees.- MPI+OpenMP Implementation.- On the ability of the one-point crossover operator to search the space in a genetic algorithm.- Multiple Choice Strategy for PSO Algorithm Enhanced with Dimensional Mutation.- A hybrid differential evolution-gradient optimization method.- On the Tuning of Complex Dynamics Embedded into Differential Evolution.- IV Classification and Estimation.- Mathematical Characterization of Sophisticated Variants for Relevance Learning in Learning Matrix Quantization Based on Schatten-p-norms.- Adaptive Active Learning with Ensemble of Learners and Multiclass Problems.- Orthogonal Series Estimation of Regression Functions in Nonstationary Conditions.- A comparison of shallow decision trees under real-boost procedure in application to landmine detection using Ground Penetrating Radar.- A new Interpretability Criteria for Neuro-fuzzy Systems for Nonlinear Classification.- Multi-class nearest neighbor classier for incomplete data handling.- Cross-Entropy Clustering approach to One-class classification.- Comparison of the Efficiency of Time and Frequency Descriptors Based on the Different Classification Conceptions.- CNC Milling Tool Head Imbalance Prediction Using Computational Intelligence Methods.- A Feature-based Machine Learning Agent for Automatic Rice and Weed Discrimination.- Relation of average error in Prolate Spheroidal Wave Functions algorithm for bandlimited functions approximation to radius of information.- Algebraic Logical Meta-Model of Decision Processes - New Metaheuristics.- Specific object detection scheme based on descriptors fusion using belief Functions.- Video Key Frame Detection Based on SURF Algorithm.- Automatic Diagnosis of Melanoid Skin Lesions Using Machine Learning Methods.- An Edge Detection using 2D Gaussian Function in Computed Tomography.- Facial displays description schemas for smiling vs. neutral emotion Recognition.- Image Segmentation in Liquid Argon Time Projection Chamber Detector.- Massively parallel change detection with application to visual quality Control.- A Fuzzy Logic Approach for Gender Recognition from face Images with embedded Bandlets.- Interpretation of image segmentation in terms of justifiable granularity.- Information Granules in Application to Image Recognition.- Can we process 2D images using Artificial Bee Colony?.- Workshop: Large-Scale Visual Recognition and Machine Learning.- Improving effectiveness of SVM classier for large scale data.- Reducing time complexity of SVM model by LVQ data compression.- Secure Representation of Images Using Multi-layer Compression.- Images Indexing and Retrieval Using GSOM Algorithm.- Multi-layer Architecture For Storing Visual Data Based on WCF and Microsoft SQL Server Database.- Object Localization Using Active Partitions and Structural Description.- Supervised Transform Learning for Face Recognition.- Fast Dictionary Matching for Content-based Image Retrieval.- Recognition and Modeling of Atypical Children Behavior.- Intelligent Fusion of Infrared and Visible Spectrum for Video Surveillance Application.- Visual Saccades for Object Recognition.- Improving Image Processing Performance using Database User-Defined Functions.

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