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Real Life Applications of Soft Computing
Rapid advancements in the application of soft computing tools and techniques have proven valuable in the development of highly scalable systems. Although many resources on the subject adequately cover the theoretic concepts, few provide clear insight into their practical application. Filling this need, this book explains such applications, including the underlying technology and its implementation. It covers the theoretical foundations of soft computing and supplies a concise explanation of various models, principles, algorithms, tools, and techniques, including artificial neural networks, fuzzy systems, evolutionary algorithms, and hybrid algorithms.
eBook
Cognitive computing using green technologies : modeling techniques and applications
\"Cognitive Computing is a new topic which aims to simulate human thought processes using computers that self-learn through data mining, pattern recognition, and natural language processing. This book focuses on the applications of Cognitive Computing in areas like Robotics, Blockchain, Deep Learning, and Wireless Technologies. This book covers the basics of Green Computing, discusses Cognitive Science methodologies in Robotics, Computer Science, Wireless Networks, and Deep Learning. It goes on to present empirical data and research techniques, modelling techniques and offers a data-driven approach to decision making and problem solving. This book is written for researchers, academicians, undergraduate and graduate students, and industry persons who are working on current applications of Cognitive Computing\"-- Provided by publisher.
BOOK
Soft Computing in the Design and Manufacturing of Composite Materials
Due to problems associated with the design and manufacturing of composite materials, there is a need to introduce computational and intelligent systems engineering methodology in materials engineering. Soft Computing in the Design and Manufacturing of Composite Material offers an intelligent approach to advance material engineering, and significantly improves the process of designing and manufacturing a new material. This title includes chapters covering topics such as soft computing techniques, composite materials engineering, design and manufacturing of composite materials, numerical modeling, prediction, and optimization of the composite materials performance, development of the hybrid models, and control of the composite material performance. Introduction of soft computing in the composite materials engineeringIncludes accurate and detailed analysis of the current state of the art in the fieldDevelopment of the intelligent models for design and manufacturing of composite materialDetails composite material performance predictionOptimization of the manufacturing process of composite materials.
eBook
Machine learning and cognitive computing for mobile communications and wireless networks
Communication and network technology has witnessed recent rapid development and numerous information services and applications have been developed globally.These technologies have high impact on society and the way people are leading their lives.
eBook
Knowledge-based clustering
A comprehensive coverage of emerging and current technology dealing with heterogeneous sources of information, including data, design hints, reinforcement signals from external datasets, and related topics Covers all necessary prerequisites, and if necessary,additional explanations of more advanced topics, to make abstract concepts more tangible Includes illustrative material andwell-known experimentsto offer hands-on experience
eBook
Soft Computing and Its Applications, Volume One
This is volume 1 of the two-volume set Soft Computing and Its Applications. This volume explains the primary tools of soft computing as well as provides an abundance of working examples and detailed design studies. The book starts with coverage of fuzzy sets and fuzzy logic and their various approaches to fuzzy reasoning. Precisely speaking, this b
eBook
Soft Computing Applications and Techniques in Healthcare
This book provides insights into contemporary issues and challenges in soft computing
applications and techniques in healthcare. It will be a useful guide to identify,
categorize, and access the role of different soft computing techniques for disease,
diagnosis, and prediction due to technological advancements.
The book explores applications in soft computing and covers empirical properties of ANN,
Evolutionary Computing, Fuzzy Logic, and statisticals techniques. It presents basic and
advanced concepts to help beginners and industry professionals get up to speed on the
latest developments in soft computing and healthcare systems. It incorporates the latest
methodologies and challenges facing soft computing, and examines descriptive,
predictive, and social network techniques and discusses analytics tools and their role
in providing effective solutions for science and technology.
The primary users for the book include researchers, academicians, post graduate
students, specialists, and practitioners.
eBook
Foundations of soft case-based reasoning
*Provides a self-contained description of this important aspect of information processing and decision support technology. *Presents basic definitions, principles, applications, and a detailed bibliography. *Covers a range of real-world examples including control, data mining, and pattern recognition.
eBook
Soft computing and its applications
This is volume 1 of the two-volume set Soft Computing and Its Applications. This volume explains the primary tools of soft computing as well as provides an abundance of working examples and detailed design studies. The book starts with coverage of fuzzy sets and fuzzy logic and their various approaches to fuzzy reasoning. Precisely speaking, this book provides a platform for handling different kinds of uncertainties of real-life problems. It introduces the reader to the topic of rough sets. This book's companion volume, Volume 2: Fuzzy Reasoning and Fuzzy Control, will move forward from here to discuss several advanced features of soft computing and application methodologies. This new book: - Discusses the present state of art of soft computing -Includes the existing application areas of soft computing - Presents original research contributions - Discusses the future scope of work in soft computing The book is unique in that it bridges the gap between theory and practice, and it presents several experimental results on synthetic data and real-life data. The book provides a unified platform for applied scientists and engineers in different fields and industries for the application of soft computing tools in many diverse domains of engineering.
eBook