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Fantasy fiction --- English --- Science fiction
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Hardware inaccuracy and imprecision are important considerations when implementing neural algorithms. This book presents a study of synaptic weight noise as a typical fault model for analogue VLSI realisations of MLP neural networks and examines the implications for learning and network performance. The aim of the book is to present a study of how including an imprecision model into a learning scheme as a"fault tolerance hint" can aid understanding of accuracy and precision requirements for a particular implementation. In addition the study shows how such a scheme can give rise to significant
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Social policy. --- Science --- Social aspects.
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Psychological warfare --- Operations, Psychological (Military science) --- Psychological operations (Military science) --- War of nerves --- Information warfare --- Psychology, Applied --- Social psychology --- War --- Propaganda --- Psychological aspects
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Technology and state --- Science and state --- Research, Industrial --- Congresses --- Congresses --- Congresses --- Economic aspects
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This book presents a systematic approach to parallel implementation of feedforward neural networks on an array of transputers. The emphasis is on backpropagation learning and training set parallelism. Using systematic analysis, a theoretical model has been developed for the parallel implementation. The model is used to find the optimal mapping to minimize the training time for large backpropagation neural networks. The model has been validated experimentally on several well known benchmark problems. Use of genetic algorithms for optimizing the performance of the parallel implementations is des
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Artificial intelligence. Robotics. Simulation. Graphics --- Artificial intelligence --- Expert systems (Computer science) --- Fuzzy systems --- Neural networks (Computer science) --- 681.3*I21 --- AA / International- internationaal --- 654 --- Artificial neural networks --- Nets, Neural (Computer science) --- Networks, Neural (Computer science) --- Neural nets (Computer science) --- Natural computation --- Soft computing --- Systems, Fuzzy --- System analysis --- Fuzzy logic --- Knowledge-based systems (Computer science) --- Systems, Expert (Computer science) --- Computer systems --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Applications and expert systems (Artificial intelligence). Cartography. Games. Industrial automation. Law. Medicine and science. Natural language interfaces. Office automation--See also {681.3*H4}; {681.3*J} --- Informatieverwerking. Bureautica. --- Artificial intelligence. --- Fuzzy systems. --- Engineering & Applied Sciences --- Computer Science --- Expert systems (Computer science). --- Neural networks (Computer science). --- 681.3*I21 Applications and expert systems (Artificial intelligence). Cartography. Games. Industrial automation. Law. Medicine and science. Natural language interfaces. Office automation--See also {681.3*H4}; {681.3*J} --- Informatieverwerking. Bureautica --- E-books
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Comparative government --- Political science --- Institutions politiques comparées --- Science politique --- Philosophy --- Philosophie --- Régimes politiques --- 342.3 <44> --- AA / International- internationaal --- 321.60 --- Regeringsstelsels en -methodes: algemeenheden. --- Political science. --- Totalitarianism. --- Democracy. --- Institutions politiques comparées --- Regeringsstelsels en -methodes: algemeenheden --- Démocratie --- Dictature --- Regimes politiques --- Systeme politique --- Totalitarisme
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Comparing the three most prominent representatives of evolutionary algorithms - genetic algorithms, evolution strategies and evolutionary programming - this book examines the computational methods at the border between computer science and evolutionary biology. The algorithms are explained within a common framework, thereby clarifying the similarities and differences of these methods. The author also presents new results regarding the role of mutation and selection in genetic algorithms and uses a meta-evolutionary approach to confirm some of the theoretical results.
Evolution (Biology). --- Evolutionary programming (Computer science). --- Genetic algorithms. --- Genetic algorithms --- Evolution (Biology) --- Evolutionary programming (Computer science) --- Operations Research --- Civil & Environmental Engineering --- Engineering & Applied Sciences --- Mathematical models --- Mathematical models. --- GAs (Algorithms) --- Genetic searches (Algorithms) --- Algorithms --- Combinatorial optimization --- Evolutionary computation --- Genetic programming (Computer science) --- Learning classifier systems --- Computer programming --- Artificial intelligence --- E-books
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War --- Security, International --- Twenty-first century --- Collective security --- International security --- International relations --- Disarmament --- International organization --- Peace --- Forecasting --- Military & Naval Science --- Law, Politics & Government --- Military Science - General --- 21st century --- Third millennium --- Armed conflict (War) --- Conflict, Armed (War) --- Fighting --- Hostilities --- Wars --- Military art and science
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