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This book thoroughly investigates the underlying theoretical basis of membrane computing models, and reveals their latest applications. In addition, to date there have been no illustrative case studies or complex real-life applications that capitalize on the full potential of the sophisticated membrane systems computational apparatus; gaps that this book remedies. By studying various complex applications – including engineering optimization, power systems fault diagnosis, mobile robot controller design, and complex biological systems involving data modeling and process interactions – the book also extends the capabilities of membrane systems models with features such as formal verification techniques, evolutionary approaches, and fuzzy reasoning methods. As such, the book offers a comprehensive and up-to-date guide for all researchers, PhDs and undergraduate students in the fields of computer science, engineering and the bio-sciences who are interested in the applications of natural computing models.
Engineering. --- Artificial intelligence. --- Computational intelligence. --- Complexity, Computational. --- Computational Intelligence. --- Artificial Intelligence (incl. Robotics). --- Complexity. --- Natural computation. --- Membranes (Technology) --- Evolutionary computation. --- Computation, Evolutionary --- Artificial membranes --- Biologically-inspired computing --- Bio-inspired computing --- Natural computing --- Complexity, Computational --- Electronic data processing --- Machine theory --- Intelligence, Computational --- Artificial intelligence --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Logic machines --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Construction --- Industrial arts --- Technology --- Soft computing --- Neural networks (Computer science) --- Separation (Technology) --- Artificial Intelligence. --- Computational complexity.
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Energy conservation. --- Water quality management. --- Conservation of energy resources --- Conservation of power resources --- Rational use of energy --- RUE (Rational use of energy) --- Conservation of natural resources --- Power resources --- Energy consumption --- Energy policy --- Recycling (Waste, etc.) --- Addison-Wesley series on water quality management --- Water-supply. --- Sustainable engineering. --- Membranes (Technology)
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