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There is a great interest in clustering techniques due to the vast amount of data generated in every field including business, health, science, engineering, aerospace, management and so on. It is essential to extract useful information from the data. Clustering techniques are widely used in pattern recognition and related applications. The research monograph presents the most recent advances in fuzzy clustering techniques and their applications. The following contents are included: Introduction to Fuzzy Clustering Fuzzy Clustering based Principal Component Analysis Fuzzy Clustering based Regression Analysis Kernel based Fuzzy Clustering Evaluation of Fuzzy Clustering Self-Organized Fuzzy Clustering This book is directed to the computer scientists, engineers, scientists, professors and students of engineering, science, computer science, business, management, avionics and related disciplines.

Fuzzy sets. --- Fuzzy logic. --- Fuzzy mathematics. --- Data mining. --- Soft computing. --- Ensembles flous --- Logique floue --- Mathématiques floues --- Exploration de données (Informatique) --- Informatique douce --- Fuzzy sets --- Fuzzy logic --- Fuzzy mathematics --- Data mining --- Soft computing --- Mathematics --- Civil & Environmental Engineering --- Engineering & Applied Sciences --- Physical Sciences & Mathematics --- Algebra --- Civil Engineering --- Applied Mathematics --- 681.3*I2 --- Artificial intelligence. AI --- 681.3*I2 Artificial intelligence. AI --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Nonlinear logic --- Sets, Fuzzy --- Mathematics. --- Artificial intelligence. --- Mathematical logic. --- Applied mathematics. --- Engineering mathematics. --- Mathematical Logic and Foundations. --- Appl.Mathematics/Computational Methods of Engineering. --- Artificial Intelligence (incl. Robotics). --- Electronic data processing --- Set theory --- Logic, Symbolic and mathematical --- Fuzzy systems --- Database searching --- Cognitive computing --- Computational intelligence --- Logic, Symbolic and mathematical. --- 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 --- Algebra of logic --- Logic, Universal --- Mathematical logic --- Symbolic and mathematical logic --- Symbolic logic --- Algebra, Abstract --- Metamathematics --- Syllogism

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Zonder onderwerpscode: economie

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Large eddy simulation (LES) is a method of scientific computation seeking to predict the dynamics of organized structures in turbulent flows by approximating local, spatial averages of the flow. Since its birth in 1970, LES has undergone an explosive development and has matured into a highly-developed computational technology. It uses the tools of turbulence theory and the experience gained from practical computation. This book focuses on the mathematical foundations of LES and its models and provides a connection between the powerful tools of applied mathematics, partial differential equations and LES. Thus, it is concerned with fundamental aspects not treated so deeply in the other books in the field, aspects such as well-posedness of the models, their energy balance and the connection to the Leray theory of weak solutions of the Navier-Stokes equations. The authors give a mathematically informed and detailed treatment of an interesting selection of models, focusing on issues connected with understanding and expanding the correctness and universality of LES. This volume offers a useful entry point into the field for PhD students in applied mathematics, computational mathematics and partial differential equations. Non-mathematicians will appreciate it as a reference that introduces them to current tools and advances in the mathematical theory of LES.

Turbulence --- Eddies --- Tourbillons (Mécanique des fluides) --- Mathematical models --- Modèles mathématiques --- Eddies. --- Turbulence. --- Turbulence - Mathematical models. --- Civil & Environmental Engineering --- Mathematics --- Physical Sciences & Mathematics --- Engineering & Applied Sciences --- Mathematics - General --- Civil Engineering --- Mathematical models. --- Tourbillons (Mécanique des fluides) --- Modèles mathématiques --- EPUB-LIV-FT LIVMATHE SPRINGER-B --- Mathematics. --- Computer mathematics. --- Physics. --- Fluids. --- Computational intelligence. --- Computational Science and Engineering. --- Computational Mathematics and Numerical Analysis. --- Theoretical, Mathematical and Computational Physics. --- Fluid- and Aerodynamics. --- Computational Intelligence. --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Hydraulics --- Mechanics --- Physics --- Hydrostatics --- Permeability --- Natural philosophy --- Philosophy, Natural --- Physical sciences --- Dynamics --- Computer mathematics --- Discrete mathematics --- Electronic data processing --- Math --- Science --- Fluid dynamics --- Water currents --- Whirlpools --- Computer science. --- Computer science --- Engineering. --- Informatics --- Construction --- Industrial arts --- Technology --- Mathematical physics. --- Physical mathematics

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