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 Advances in Computational Intelligence: Theory And ApplicationsComputational Intelligence (CI) is a recently emerging area in fundamental and applied research, exploiting a number of advanced information processing technologies that mainly embody neural networks, fuzzy logic and evolutionary computation. With a major concern to exploiting the tolerance for imperfection, uncertainty, and partial truth to... | | | | |
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Encyclopedia of Infectious Diseases: Modern MethodologiesNew multidisciplinary approaches that are changing our understanding of infectious diseases
Discover how the application of novel multidisciplinary, integrative approaches and technologies are dramatically changing our understanding of the pathogenesis of infectious diseases and their treatments. Each article... | | Managing and Leading Software ProjectsDiscover the fundamental techniques for managing and leading software projects
This book bridges the communication gap between project managers and software developers working toward the common goal of developing successful software products and software systems. It provides the insights, methods, tools, and techniques necessary to understand... | | Computational Intelligence: An IntroductionCan computers be intelligent?
This question causes even more debate than the definitions of intelligence do.
Computational intelligence is the study of adaptive mechanisms to enable or facilitate intelligent behaviour in complex and changing environments. As such, computational intelligence encompasses artificial neural networks,... |
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| | Foundations of Cognitive Psychology: Core ReadingsScientists from many disciplines, including physics, chemistry, biology, and neuroscience, contribute to the study of cognition. Cognitive psychology, the science of the human mind and of how people process information, is at the core of empirical investigations into the nature of mind and thought. This anthology is based on the assumption that... | | Handbook of Applied Analysis (Advances in Mechanics and Mathematics)Accurate models to describe real-world phenomena are indispensable for research in such scientific fields as physics, engineering, biology, chemistry, and economics. The tools and techniques of applied analysis facilitate the development of mathematical models and can thereby serve as an excellent resource for students and researchers in various... |
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