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evolution used for intelligent applications. Computational Intelligence Paradigms for Optimization Problems Using MATLAB (R)/ Simulink (R;
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evolution used for intelligent applications. Computational Intelligence Paradigms for Optimization Problems Using MATLAB (R)/ Simulink (R;
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Using MATLAB (R) presents theoretical concepts and a general framework for computational intelligence (CI) approaches, including artificial;
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Using MATLAB (R) presents theoretical concepts and a general framework for computational intelligence (CI) approaches, including artificial;
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in CORBA C++, MATLAB (R), Simulink (R), VisSim, Comsol, ANSYS, and ANSYS Fluent modeling software Although the projects in the text focus on;
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codes for use in CORBA C++, MATLAB (R), Simulink (R), VisSim, Comsol, ANSYS, and ANSYS Fluent modeling software Although the;
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the aspects of fuzzy, neural and evolutionary approaches with worked out examples, MATLAB(R) exercises and applications in each chapter;
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Optimization in Practice with MATLAB (R) provides a unique approach to optimization education. It is accessible to both junior and senior;
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(R) Models describes the modeling of optically amplified fiber communications systems using MATLAB (R) and Simulink (R). This lecture-based;
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Communications Modeling of Digital Communication Systems Using SIMULINK(R) introduces the reader to SIMULINK(R), an extension of the widely-used MATLAB;
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applications from many areas Includes the realization of executable files for MATLAB programs and Simulink models;
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using MATLAB (R) Robust Control Toolbox 3, Control System Toolbox and Simulink (R). By sharing their experiences in industrial cases with;
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, using Matlab to illustrate topics and concepts. The author covers computational intelligence tools like particle swarm optimization, bacterial;
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, using MATLAB (R) Simulink (R) software. It includes discussions on the performance of each configuration, as well as the advantages and;
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demonstrates the coupling between MATLAB and SOLIDWORKS (R) for design optimization. A wide variety of optimization problems are covered including;
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Chemical Engineering Computation with MATLAB (R), Second Edition continues to present basic to advanced levels of problem-solving;
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of MATLAB by providing a graphical interface for modeling and simulating dynamical processes. Using examples from mathematics, mechanical and;
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Nonlinear Optimization in Electrical Engineering with Applications in MATLAB (R) provides an introductory course on nonlinear optimization;
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files for MATLAB programs and Simulink models;
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numerical algorithms that are implemented in MATLAB (R) to help researchers analyze a particular outcome. By using MATLAB (R) it is possible for the;
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many built-in functions that make learning easier and reduce prototyping time. Simulink is a toolbox that extends the possibilities of MATLAB;
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processes using MATLAB(R) and Simulink(TM), while improving and clarifying previous content. The book may be used as a reference or as a textbook;
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Fundamentals of Image, Audio, and Video Processing Using MATLAB (R) introduces the concepts and principles of media processing and its;
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Fundamentals of Image, Audio, and Video Processing Using MATLAB (R) introduces the concepts and principles of media processing and its;
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and methods can be addressed using the open source, multi-platform R tool. Modern optimization methods, also known as metaheuristics, are;
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Computer-Aided Control Systems Design: Practical Applications Using MATLAB (R) and Simulink (R) supplies a solid foundation in applied;
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Computer-Aided Control Systems Design: Practical Applications Using MATLAB (R) and Simulink (R) supplies a solid foundation in applied;
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