These authors use soft computing techniques and fractal theory in this new approach to mathematical modeling, simulation and control of complexion-linear dynamical systems. First, a new fuzzy-fractal approach to automated mathematical modeling of non-linear dynamical systems is presented. It is illustrated with examples on the PROLOG programming language. Second, a new fuzzy-genetic approach to automated simulation of dynamical systems is presented. It is illustrated with examples in the MATLAB programming language. Third, a new method for model-based adaptive control using a neuro-fussy...
These authors use soft computing techniques and fractal theory in this new approach to mathematical modeling, simulation and control of complexion-lin...
We describe in this book, new methods for analysis and design of hybrid intelligent systems using soft computing techniques. Soft Computing (SC) consists of several computing paradigms, including fuzzy logic, neural networks, and genetic algorithms, which can be used to produce powerful hybrid intelligent systems for solving problems in pattern recognition, time series prediction, intelligent control, robotics and automation. Hybrid int- ligent systems that combine several SC techniques are needed due to the complexity and high dimensionality of real-world problems. Hybrid int- ligent systems...
We describe in this book, new methods for analysis and design of hybrid intelligent systems using soft computing techniques. Soft Computing (SC) consi...
This book comprises a selection of papers from IFSA 2007 on new methods and theories that contribute to the foundations of fuzzy logic and soft computing. These papers were selected from over 400 submissions and constitute an imp- tant contribution to the theory and applications of fuzzy logic and soft c- puting methodologies. Soft computing consists of several computing paradigms, including fuzzy logic, neural networks, genetic algorithms, and other techniques, which can be used to produce powerful intelligent systems for solving real-world problems. The papers of IFSA 2007 also make a...
This book comprises a selection of papers from IFSA 2007 on new methods and theories that contribute to the foundations of fuzzy logic and soft comput...
We describe in this book, new methods for building intelligent systems using type-2 fuzzy logic and soft computing techniques. Soft Computing (SC) consists of several computing paradigms, including type-1 fuzzy logic, neural networks, and genetic algorithms, which can be used to create powerful hybrid intelligent systems. In this book, we are extending the use of fuzzy logic to a higher order, which is called type-2 fuzzy logic. Combining type-2 fuzzy logic with traditional SC techniques, we can build powerful hybrid intelligent systems that can use the advantages that each te- nique offers....
We describe in this book, new methods for building intelligent systems using type-2 fuzzy logic and soft computing techniques. Soft Computing (SC) con...
A large international conference, Intelligent Systems and Computer Engineering, was held in Hong Kong, March 21-23, 2007, under the International MultiConf- ence of Engineers and Computer Scientists (IMECS) 2007. The IMECS 2007 is organized by the International Association of Engineers (IAENG), a nonpro't int- national association for engineers and computer scientists. The IMECS conferences serve as good platforms for the engineering community to meet with each other and to exchange ideas. The conferences also strike a balance between theoretical and - plication development. The conference...
A large international conference, Intelligent Systems and Computer Engineering, was held in Hong Kong, March 21-23, 2007, under the International Mult...
This book comprises papers on diverse aspects of soft computing and hybrid intelligent systems. There are theoretical aspects and application papers. New methods and applications of hybrid intelligent systems using soft computing techniques are described.
This book comprises papers on diverse aspects of soft computing and hybrid intelligent systems. There are theoretical aspects and application paper...
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...
This monograph describes new methods for intelligent pattern recognition using soft computing techniques including neural networks, fuzzy logic, an...
A large international conference in Intelligent Automation and Computer Engineering was held in Hong Kong, March 18-20, 2009, under the auspices of the International MultiConference of Engineers and Computer Scientists (IMECS 2009). The IMECS is organized by the International Association of Engineers (IAENG). Intelligent Automation and Computer Engineering contains 37 revised and extended research articles written by prominent researchers participating in the conference. Topics covered include artificial intelligence, decision supporting systems, automated planning, automation systems,...
A large international conference in Intelligent Automation and Computer Engineering was held in Hong Kong, March 18-20, 2009, under the auspices of...
Soft Computing (SC) consists of intelligent computing paradigms used to create powerful hybrid intelligent systems. This book offers new methods for evolutionary design of intelligent systems using SC and their applications in modeling, simulation and control.
Soft Computing (SC) consists of intelligent computing paradigms used to create powerful hybrid intelligent systems. This book offers new methods fo...
Soft Computing includes intelligent computing paradigms such as fuzzy logic, neural networks, and bio-inspired optimization algorithms. This book describes hybrid intelligent systems with soft computing techniques for intelligent control and mobile robotics.
Soft Computing includes intelligent computing paradigms such as fuzzy logic, neural networks, and bio-inspired optimization algorithms. This book desc...
