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Mathematical statistics --- Artificial intelligence. Robotics. Simulation. Graphics --- patroonherkenning --- neuronale netwerken --- fuzzy logic --- cybernetica --- factoranalyse --- KI (kunstmatige intelligentie) --- robots

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This monograph describes new methods for intelligent pattern recognition using soft computing techniques including neural networks, fuzzy logic, and genetic algorithms. Hybrid intelligent systems that combine several soft computing techniques are needed due to the complexity of pattern recognition problems. Hybrid intelligent systems can have different architectures, which have an impact on the efficiency and accuracy of pattern recognition systems, to achieve the ultimate goal of pattern recognition. This book also shows results of the application of hybrid intelligent systems to real-world problems of face, fingerprint, and voice recognition. This monograph is intended to be a major reference for scientists and engineers applying new computational and mathematical tools to intelligent pattern recognition and can be also used as a textbook for graduate courses in soft computing, intelligent pattern recognition, computer vision, or applied artificial intelligence.

Pattern recognition systems. --- Soft computing. --- Reconnaissance des formes (Informatique) --- Informatique douce --- Engineering. --- Artificial intelligence. --- Optical pattern recognition. --- Engineering mathematics. --- Appl.Mathematics/Computational Methods of Engineering. --- Pattern Recognition. --- Artificial Intelligence (incl. Robotics). --- Automation and Robotics. --- Signal, Image and Speech Processing. --- Neural networks (Computer science) --- Soft computing --- Pattern recognition systems --- Fuzzy systems --- Civil Engineering --- Computer Science --- Applied Mathematics --- Engineering & Applied Sciences --- Civil & Environmental Engineering --- Fuzzy systems. --- Neural networks (Computer science). --- Systems, Fuzzy --- Pattern classification systems --- Pattern recognition computers --- Artificial neural networks --- Nets, Neural (Computer science) --- Networks, Neural (Computer science) --- Neural nets (Computer science) --- Engineering --- Engineering analysis --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Construction --- Mathematics --- Computer science. --- Computers. --- Pattern recognition. --- Applied mathematics. --- Control engineering. --- Robotics. --- Mechatronics. --- Computer Science. --- Theory of Computation. --- Control, Robotics, Mechatronics. --- Information theory. --- Mathematical and Computational Engineering. --- Artificial Intelligence. --- Mathematical analysis --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination --- Communication theory --- Communication --- Cybernetics --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Signal processing. --- Image processing. --- Speech processing systems. --- Computational linguistics --- Electronic systems --- Information theory --- Modulation theory --- Oral communication --- Speech --- Telecommunication --- Singing voice synthesizers --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication) --- Mechanical engineering --- Microelectronics --- Microelectromechanical systems --- Automation --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Programmable controllers --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Calculators --- Cyberspace

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We describe in this book, bio-inspired models and applications of hybrid intelligent systems using soft computing techniques for image analysis and pattern recognition based on biometrics and other information sources. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and bio-inspired optimization algo-rithms, which can be used to produce powerful hybrid intelligent systems. The book is organized in five main parts, which contain a group of papers around a similar subject.

Soft computing --- Civil & Environmental Engineering --- Engineering & Applied Sciences --- Civil Engineering --- Soft computing. --- Biometry --- Biometric identification. --- Data processing. --- Biometric person authentication --- Biometrics (Identification) --- Biological statistics --- Biology --- Biometrics (Biology) --- Biostatistics --- Statistical methods --- Engineering. --- Artificial intelligence. --- Biometrics (Biology). --- Engineering design. --- Engineering Design. --- Artificial Intelligence (incl. Robotics). --- Biometrics. --- Anthropometry --- Identification --- Biomathematics --- Statistics --- Cognitive computing --- Electronic data processing --- Computational intelligence --- Artificial Intelligence. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Design, Engineering --- Engineering --- Industrial design --- Strains and stresses --- Design

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This book reviews current state of the art methods for building intelligent systems using type-2 fuzzy logic and bio-inspired optimization techniques. Combining type-2 fuzzy logic with optimization algorithms, powerful hy-brid intelligent systems have been built using the advantages that each technique offers. This book is intended to be a reference for scientists and engineers interested in applying type-2 fuzzy logic for solving problems in pattern recognition, intelligent control, intelligent manufacturing, robotics and automation. This book can also be used as a reference for graduate courses like the following: soft computing, intelligent pattern recognition, computer vision, applied artificial intelligence, and similar ones. We con-sider that this book can also be used to get novel ideas for new lines of re-search, or to continue the lines of research proposed by the authors.

Automatic control. --- Fuzzy logic. --- Fuzzy systems. --- Fuzzy logic --- Fuzzy systems --- Engineering & Applied Sciences --- Mathematics --- Physical Sciences & Mathematics --- Mathematical Theory --- Computer Science --- Genetic algorithms. --- Fuzzy algorithms. --- Research. --- GAs (Algorithms) --- Genetic searches (Algorithms) --- Systems, Fuzzy --- Engineering. --- Artificial intelligence. --- Computational intelligence. --- Computational Intelligence. --- Artificial Intelligence (incl. Robotics). --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Construction --- Industrial arts --- Technology --- Algorithms --- Cluster set theory --- Fuzzy mathematics --- Combinatorial optimization --- Evolutionary computation --- Genetic programming (Computer science) --- Learning classifier systems --- System analysis --- Artificial Intelligence.

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"Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition" comprises papers on diverse aspects of bio-inspired models, soft computing and hybrid intelligent systems. The articles are divided in four main parts. The first one consists of papers that propose new fuzzy and bio-inspired models to solve general problems. The second part deals with the main theme of modular neural networks in pattern recognition, which are basically papers using bio-inspired techniques. The third part contains papers that apply hybrid intelligent systems to the problem of time series analysis and prediction, while the fourth one shows papers dealing with bio-inspired models in optimization and robotics applications. An edited book where both theoretical and application aspects are covered.

Image analysis --- Pattern perception --- Intelligent control systems --- Soft computing --- Engineering & Applied Sciences --- Civil & Environmental Engineering --- Civil Engineering --- Applied Mathematics --- Applied Physics --- Image analysis. --- Pattern perception. --- Intelligent control systems. --- Soft computing. --- Intelligent control --- Intelligent controllers --- Design perception --- Pattern recognition --- Analysis of images --- Image interpretation --- Computer science. --- Artificial intelligence. --- Computer graphics. --- Image processing. --- Applied mathematics. --- Engineering mathematics. --- Computer Science. --- Image Processing and Computer Vision. --- Appl.Mathematics/Computational Methods of Engineering. --- Artificial Intelligence (incl. Robotics). --- Signal, Image and Speech Processing. --- Computer Imaging, Vision, Pattern Recognition and Graphics. --- Automatic control --- Form perception --- Perception --- Figure-ground perception --- Cognitive computing --- Electronic data processing --- Computational intelligence --- Imaging systems --- Computer vision. --- Mathematical and Computational Engineering. --- Artificial Intelligence. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Engineering --- Engineering analysis --- Mathematical analysis --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Pattern recognition systems --- Mathematics --- Optical data processing. --- Signal processing. --- Speech processing systems. --- Computational linguistics --- Electronic systems --- Information theory --- Modulation theory --- Oral communication --- Speech --- Telecommunication --- Singing voice synthesizers --- Pictorial data processing --- Picture processing --- Processing, Image --- Optical data processing --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication) --- Optical computing --- Visual data processing --- Integrated optics --- Photonics --- Computers --- Optical equipment