Fuzzy Logic and Information Fusion

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Release : 2016-05-10
Genre : Technology & Engineering
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Book Rating : 216/5 ( reviews)

Fuzzy Logic and Information Fusion - 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 Fuzzy Logic and Information Fusion write by Tomasa Calvo Sánchez. This book was released on 2016-05-10. Fuzzy Logic and Information Fusion available in PDF, EPUB and Kindle. This book offers a timely report on key theories and applications of soft-computing. Written in honour of Professor Gaspar Mayor on his 70th birthday, it primarily focuses on areas related to his research, including fuzzy binary operators, aggregation functions, multi-distances, and fuzzy consensus/decision models. It also discusses a number of interesting applications such as the implementation of fuzzy mathematical morphology based on Mayor-Torrens t-norms. Importantly, the different chapters, authored by leading experts, present novel results and offer new perspectives on different aspects of Mayor’s research. The book also includes an overview of evolutionary fuzzy systems, a topic that is not one of Mayor’s main areas of interest, and a final chapter written by the Spanish pioneer in fuzzy logic, Professor E. Trillas. Computer and decision scientists, knowledge engineers and mathematicians alike will find here an authoritative overview of key soft-computing concepts and techniques.

Sensor and Data Fusion Concepts and Applications

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Release : 1993
Genre : Mathematics
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Book Rating : /5 ( reviews)

Sensor and Data Fusion Concepts and Applications - 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 Sensor and Data Fusion Concepts and Applications write by Lawrence A. Klein. This book was released on 1993. Sensor and Data Fusion Concepts and Applications available in PDF, EPUB and Kindle. First published in 1993, this Tutorial Text has been revised and updated to provide explanations and examples of data fusion algorithms in areas not covered in the first edition. All of the chapters from the first edition have been revised. New material includes the FASCODE and MODTRAN atmospheric models, EOSAEL, and the Dempster-Shafer Algorithm.

Sensor and Data Fusion

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Release : 2012
Genre : Multisensor data fusion
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Book Rating : 336/5 ( reviews)

Sensor and Data Fusion - 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 Sensor and Data Fusion write by Lawrence A. Klein. This book was released on 2012. Sensor and Data Fusion available in PDF, EPUB and Kindle. This book illustrates the benefits of sensor fusion by considering the characteristics of infrared, microwave, and millimeter-wave sensors, including the influence of the atmosphere on their performance. Topics include applications of multiple-sensor systems; target, background, and atmospheric signature-generation phenomena and modeling; and methods of combining multiple-sensor data in target identity and tracking data fusion architectures. The information in this edition has been substantially expanded and updated to incorporate recent approaches to sensor and data fusion and application examples.

Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms

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Release : 2020-01-29
Genre : Computers
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Book Rating : 124/5 ( reviews)

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.

Adaptive Modelling, Estimation and Fusion from Data

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Release : 2002-05-13
Genre : Computers
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Book Rating : 868/5 ( reviews)

Adaptive Modelling, Estimation and Fusion from Data - 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 Adaptive Modelling, Estimation and Fusion from Data write by Chris Harris. This book was released on 2002-05-13. Adaptive Modelling, Estimation and Fusion from Data available in PDF, EPUB and Kindle. This book brings together for the first time the complete theory of data based neurofuzzy modelling and the linguistic attributes of fuzzy logic in a single cohesive mathematical framework. After introducing the basic theory of data based modelling new concepts including extended additive and multiplicative submodels are developed. All of these algorithms are illustrated with benchmark examples to demonstrate their efficiency. The book aims at researchers and advanced professionals in time series modelling, empirical data modelling, knowledge discovery, data mining and data fusion.