James M. Keller - Böcker
Visar alla böcker från författaren James M. Keller. Handla med fri frakt och snabb leverans.
3 produkter
3 produkter
229 kr
Skickas inom 3-6 vardagar
Fundamentals of Computational Intelligence
Neural Networks, Fuzzy Systems, and Evolutionary Computation
Inbunden, Engelska, 2016
1 322 kr
Skickas inom 7-10 vardagar
Provides an in-depth and even treatment of the three pillars of computational intelligence and how they relate to one another This book covers the three fundamental topics that form the basis of computational intelligence: neural networks, fuzzy systems, and evolutionary computation. The text focuses on inspiration, design, theory, and practical aspects of implementing procedures to solve real-world problems. While other books in the three fields that comprise computational intelligence are written by specialists in one discipline, this book is co-written by current former Editor-in-Chief of IEEE Transactions on Neural Networks and Learning Systems, a former Editor-in-Chief of IEEE Transactions on Fuzzy Systems, and the founding Editor-in-Chief of IEEE Transactions on Evolutionary Computation. The coverage across the three topics is both uniform and consistent in style and notation. Discusses single-layer and multilayer neural networks, radial-basis function networks, and recurrent neural networksCovers fuzzy set theory, fuzzy relations, fuzzy logic interference, fuzzy clustering and classification, fuzzy measures and fuzzy integralsExamines evolutionary optimization, evolutionary learning and problem solving, and collective intelligenceIncludes end-of-chapter practice problems that will help readers apply methods and techniques to real-world problemsFundamentals of Computational intelligence is written for advanced undergraduates, graduate students, and practitioners in electrical and computer engineering, computer science, and other engineering disciplines.
Del 9 - Series On Advances In Bioinformatics And Computational Biology
Applications Of Fuzzy Logic In Bioinformatics
Inbunden, Engelska, 2008
1 945 kr
Skickas inom 5-8 vardagar
Many biological systems and objects are intrinsically fuzzy as their properties and behaviors contain randomness or uncertainty. In addition, it has been shown that exact or optimal methods have significant limitation in many bioinformatics problems. Fuzzy set theory and fuzzy logic are ideal to describe some biological systems/objects and provide good tools for some bioinformatics problems. This book comprehensively addresses several important bioinformatics topics using fuzzy concepts and approaches, including measurement of ontological similarity, protein structure prediction/analysis, and microarray data analysis. It also reviews other bioinformatics applications using fuzzy techniques.