Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms write by Lakhmi C. Jain. This book was released on 2020-01-29. Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms available in PDF, EPUB and Kindle. Artificial neural networks can mimic the biological information-processing mechanism in - a very limited sense. Fuzzy logic provides a basis for representing uncertain and imprecise knowledge and forms a basis for human reasoning. Neural networks display genuine promise in solving problems, but a definitive theoretical basis does not yet exist for their design. Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms integrates neural net, fuzzy system, and evolutionary computing in system design that enables its readers to handle complexity - offsetting the demerits of one paradigm by the merits of another. This book presents specific projects where fusion techniques have been applied. The chapters start with the design of a new fuzzy-neural controller. Remaining chapters discuss the application of expert systems, neural networks, fuzzy control, and evolutionary computing techniques in modern engineering systems. These specific applications include: direct frequency converters electro-hydraulic systems motor control toaster control speech recognition vehicle routing fault diagnosis Asynchronous Transfer Mode (ATM) communications networks telephones for hard-of-hearing people control of gas turbine aero-engines telecommunications systems design Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms covers the spectrum of applications - comprehensively demonstrating the advantages of fusion techniques in industrial applications.
Neuro-fuzzy Pattern Recognition
Neuro-fuzzy Pattern Recognition - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Neuro-fuzzy Pattern Recognition write by Horst Bunke. This book was released on 2000. Neuro-fuzzy Pattern Recognition available in PDF, EPUB and Kindle. Neural networks and fuzzy techniques are among the most promising approaches to pattern recognition. Neuro-fuzzy systems aim at combining the advantages of the two paradigms. This book is a collection of papers describing state-of-the-art work in this emerging field. It covers topics such as feature selection, classification, classifier training, and clustering. Also included are applications of neuro-fuzzy systems in speech recognition, land mine detection, medical image analysis, and autonomous vehicle control. The intended audience includes graduate students in computer science and related fields, as well as researchers at academic institutions and in industry.
Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation
Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation write by . This book was released on 2002. Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation available in PDF, EPUB and Kindle.
Genetic Algorithms and Fuzzy Logic Systems
Genetic Algorithms and Fuzzy Logic Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Genetic Algorithms and Fuzzy Logic Systems write by Elie Sanchez. This book was released on 1997. Genetic Algorithms and Fuzzy Logic Systems available in PDF, EPUB and Kindle. Ever since fuzzy logic was introduced by Lotfi Zadeh in the mid-sixties and genetic algorithms by John Holland in the early seventies, these two fields widely been subjects of academic research the world over. During the last few years, they have been experiencing extremely rapid growth in the industrial world, where they have been shown to be very effective in solving real-world problems. These two substantial fields, together with neurocomputing techniques, are recognized as major parts of soft computing: a set of computing technologies already riding the waves of the next century to produce the human-centered intelligent systems of tomorrow; the collection of papers presented in this book shows the way. The book also contains an extensive bibliography on fuzzy logic and genetic algorithms.
Hybrid Intelligent Systems
Hybrid Intelligent Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Hybrid Intelligent Systems write by Larry R. Medsker. This book was released on 2012-12-06. Hybrid Intelligent Systems available in PDF, EPUB and Kindle. Hybrid Intelligent Systems summarizes the strengths and weaknesses of five intelligent technologies: fuzzy logic, genetic algorithms, case-based reasoning, neural networks and expert systems, reviewing the status and significance of research into their integration. Engineering and scientific examples and case studies are used to illustrate principles and application development techniques. The reader will gain a clear idea of the current status of hybrid intelligent systems and discover how to choose and develop appropriate applications. The book is based on a thorough literature search of recent publications on research and development in hybrid intelligent systems; the resulting 50-page reference section of the book is invaluable. The book starts with a summary of the five major intelligent technologies and of the issues in and current status of research into them. Each subsequent chapter presents a detailed discussion of a different combination of intelligent technologies, along with examples and case studies. Four chapters contain detailed case studies of working hybrid systems. The book enables the reader to: Describe the important concepts, strengths and limitations of each technology; Recognize and analyze potential problems with the application of hybrid systems; Choose appropriate hybrid intelligent solutions; Understand how applications are designed with any of the approaches covered; Choose appropriate commercial development shells or tools. An invaluable reference source for those who wish to apply intelligent systems techniques to their own problems.
