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Fuzzy Classification of Microcalcification in Mammograms

thesis is on automatic detection of microcalcifications in a mammogram using fuzzy image processing. Microcalcification is one of the earliest;

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Genetic Algorithms, Fuzzy Systems & Website Classification

This book presents and discusses current research in the study of genetic algorithms, fuzzy systems and website classification. Topics;

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Multiple Fuzzy Classification Systems

and business applications. Fuzzy classifiers use fuzzy rules and do not require assumptions common to statistical classification. Rough set;

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Fuzzy Information Processing

, including theory and applications of fuzzy numbers and sets, fuzzy logic, fuzzy inference systems, fuzzy clustering, fuzzy pattern classification;

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Fuzzy Clustering Via Proportional Membership Model

), modelling a typological classification. In fuzzy clustering, the fuzzy c-means (FCM) method has become one of the most popular techniques. As a;

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Fuzzy Sets & their Application to Clustering & Training

clustering applications. It provides a unified mathematical framework for fuzzy classification and clustering, a methodology for developing training;

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EMG Signals Characterization in Three States of Contraction by Fuzzy Network and

neuro-fuzzy system is trained with 70 percent of the recorded Electromyography (EMG) cut off window and then used for classification and;

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Pattern Classification

This book provides a unified approach for developing a fuzzy classifier and explains the advantages and disadvantages of different;

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Fuzzy Sets, Rough Sets, Multisets and Clustering

classification. The second part puts the spotlight on multisets, bags, fuzzy bags and other fuzzy extensions, while the third deals with rough sets;

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Interval-Valued Methods in Classifications and Decisions

This book describes novel algorithms based on interval-valued fuzzy methods that are expected to improve classification and decision-making;

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Advanced Concepts in Fuzzy Logic and Systems with Membership Uncertainty

, or fuzzy control and classification, and is especially dedicated to researchers and practitioners in industry.;

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Fuzzy Logic in Chemistry

hierarchical classification methods. Fuzzy Logic in Chemistry will appeal to both students and professionals who are seeking to learn more about theory;

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Computational Intelligence Paradigms

, before providing MATLAB illustrations of ANFIS, classification and regression trees, fuzzy c-means clustering algorithms, fuzzy ART map, and;

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Computational Intelligence Paradigms

, before providing MATLAB illustrations of ANFIS, classification and regression trees, fuzzy c-means clustering algorithms, fuzzy ART map, and;

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New Classification Method Based on Modular Neural Networks with the LVQ Algorith

In this book a new model for data classification was developed. This new model is based on the competitive neural network Learning Vector;

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Classification Analysis of DNA Microarrays

The rapid uncontrolled growth of classification methods in DNA microarray studies has resulted in a body of information scattered;

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Fuzzy Machine Learning Algorithms for Remote Sensing Image Classification

focus on using large range of fuzzy classification algorithms for remote sensing images; discuss ANN, CNN, RNN, and hybrid learning;

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Fuzzy Modelling and Classification Applied

systems. These innovative technologies combined with the potential of the Fuzzy Modelling and Classification techniques, actually used along the;

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An Introduction to Fuzzy Sets

The concept of fuzzy sets is one of the most fundamental and influential tools in computational intelligence. Fuzzy sets can provide;

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Fundamentals of Computational Intelligence

, and recurrent neural networks * Covers fuzzy set theory, fuzzy relations, fuzzy logic interference, fuzzy clustering and classification, fuzzy;

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Fuzzy Transforms for Image Processing and Data Analysis

This book analyzes techniques that use the direct and inverse fuzzy transform for image processing and data analysis. The book is divided;

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Fuzzy Transforms for Image Processing and Data Analysis

This book analyzes techniques that use the direct and inverse fuzzy transform for image processing and data analysis. The book is divided;

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New Hybrid Intelligent Systems for Diagnosis and Risk Evaluation of Arterial Hypertension

as a hybrid intelligent system combining modular neural net-works and fuzzy systems. The different responses of the hybrid system are;

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Advances In Remote Sensing And Gis Analysis

particular emphasis on mathematical techniques and their application. It covers techniques such as fuzzy classification, artificial neural networks;

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Computer-Aided Detection of Architectural Distortion in Prior Mammograms of Interval Cancer

Architectural distortion is an important and early sign of breast cancer, but because of its subtlet;...

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Computational Intelligence for Pattern Recognition

The book presents a comprehensive and up-to-date review of fuzzy pattern recognition. It carefully discusses a range of methodological and;

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Concepts of Soft Computing

in order to attain robustness and reliable computing. It explores two major concepts of soft computing: fuzzy set theory and neural networks, which;

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