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Neural networks (Computer science) --- Neurale netwerken (Informatica) --- Réseaux neuraux (Informatique) --- Neural Networks (Computer) --- 681.3*I2 --- Connectionist Models --- Models, Neural Network --- Neural Network Models --- Perceptrons --- Connectionist Model --- Model, Connectionist --- Model, Neural Network --- Models, Connectionist --- Network Model, Neural --- Network Models, Neural --- Network, Neural (Computer) --- Networks, Neural (Computer) --- Neural Network (Computer) --- Neural Network Model --- Perceptron --- Artificial intelligence. AI --- Neural Networks (Computer). --- 681.3*I2 Artificial intelligence. AI --- Computational Neural Networks --- Computational Neural Network --- Computer Neural Network --- Computer Neural Networks --- Network, Computational Neural --- Network, Computer Neural --- Networks, Computational Neural --- Networks, Computer Neural --- Neural Network, Computational --- Neural Network, Computer --- Neural Networks, Computational
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Neural computers --- Neural networks (Computer science) --- Neurale computers --- Neurale netwerken (Informatica) --- Ordinateurs neuraux --- Réseaux neuraux (Informatique) --- Neural computers. --- Scientists --- Neural Networks (Computer) --- Science --- Pattern Recognition, Automated --- Natural Science Disciplines --- Artificial Intelligence --- Mathematical Concepts --- Phenomena and Processes --- Information Science --- Disciplines and Occupations --- Computing Methodologies --- Computer Science --- Engineering & Applied Sciences --- Interviews. --- Interviews --- Neural networks (Computer science). --- High Performance Computing --- Methodologies, Computing --- Computing Methodology --- Computing, High Performance --- Methodology, Computing --- Performance Computing, High --- Artificial neural networks --- Nets, Neural (Computer science) --- Networks, Neural (Computer science) --- Neural nets (Computer science) --- Neural net computers --- Neural network computers --- Neurocomputers --- Information Sciences --- Science, Information --- Sciences, Information --- Concept, Mathematical --- Concepts, Mathematical --- Mathematical Concept --- Computational Intelligence --- AI (Artificial Intelligence) --- Computer Reasoning --- Computer Vision Systems --- Knowledge Acquisition (Computer) --- Knowledge Representation (Computer) --- Machine Intelligence --- Acquisition, Knowledge (Computer) --- Computer Vision System --- Intelligence, Artificial --- Intelligence, Computational --- Intelligence, Machine --- Knowledge Representations (Computer) --- Reasoning, Computer --- Representation, Knowledge (Computer) --- System, Computer Vision --- Systems, Computer Vision --- Vision System, Computer --- Vision Systems, Computer --- Natural Sciences --- Physical Sciences --- Discipline, Natural Science --- Disciplines, Natural Science --- Natural Science --- Natural Science Discipline --- Physical Science --- Science, Natural --- Science, Physical --- Sciences, Natural --- Sciences, Physical --- Automated Pattern Recognition --- Pattern Recognition System --- Pattern Recognition Systems --- Sciences --- Connectionist Models --- Models, Neural Network --- Neural Network Models --- Perceptrons --- Connectionist Model --- Model, Connectionist --- Model, Neural Network --- Models, Connectionist --- Network Model, Neural --- Network Models, Neural --- Network, Neural (Computer) --- Networks, Neural (Computer) --- Neural Network (Computer) --- Neural Network Model --- Perceptron --- Artificial intelligence --- Natural computation --- Soft computing --- Electronic digital computers --- Heuristics --- Professional employees --- Computational Neural Networks --- Computational Neural Network --- Computer Neural Network --- Computer Neural Networks --- Network, Computational Neural --- Network, Computer Neural --- Networks, Computational Neural --- Networks, Computer Neural --- Neural Network, Computational --- Neural Network, Computer --- Neural Networks, Computational
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The purpose of this book is to develop neural nets as a strong theory for both brains and machines. The theory is developed in close correlation with the biology of the neuron and the properties of human reasoning. This approach implies the following: - Updating the biology of the artificialneuron. The neurosciences have experienced a tremendous development in the last 50 years. One of the main purposes of the present work is toincorporate this knowledge into a strong model of the artificial neuron. Particular attention is devoted to formalizing the complex chemical processes at the synaptic level. This formal language supports both symbolicreasoning and uncertainty processing. - Investigating the properties of expert reasoning. This kind of reasoning is approximate, partial and non-monotonic, and therefore requires special mathematical tools for its formalization, such as fuzzy set theory and fuzzy logic. Three different intelligent systems developed with this technology are presented and discussed.
Models, Neurological. --- Nerve Net. --- Neural Networks (Computer) --- Neural Pathways --- Brain --- -Neural networks (Computer science) --- 681.3*F11 --- 681.3*I26 --- 681.3*J2 --- 681.3*J3 --- Artificial neural networks --- Nets, Neural (Computer science) --- Networks, Neural (Computer science) --- Neural nets (Computer science) --- Artificial intelligence --- Natural computation --- Soft computing --- Cerebrum --- Mind --- Central nervous system --- Head --- Connectionist Models --- Models, Neural Network --- Neural Network Models --- Perceptrons --- Connectionist Model --- Model, Connectionist --- Model, Neural Network --- Models, Connectionist --- Network Model, Neural --- Network Models, Neural --- Network, Neural (Computer) --- Networks, Neural (Computer) --- Neural Network (Computer) --- Neural Network Model --- Perceptron --- Neural Networks (Anatomic) --- Nerve Nets --- Net, Nerve --- Nets, Nerve --- Network, Neural (Anatomic) --- Networks, Neural (Anatomic) --- Neural Network (Anatomic) --- Model, Neurological --- Neurologic Model --- Neurological Model --- Neurological Models --- Neurologic Models --- Model, Neurologic --- Models, Neurologic --- physiology. --- Physiology --- Models of computation: automata bounded action devices computability theory relations among models self-modifying machines unbounded-action devices--See also {681.3*F41} --- Learning: analogies concept learning induction knowledge acquisition language acquisition parameter learning (Artificial intelligence)--See also {681.3*K32} --- Physical sciences and engineering (Computer applications) --- Life and medical sciences (Computer applications) --- Neural networks (Computer science) --- Models --- Nerve net --- NEURAL NETWORKS (COMPUTER) --- NEURAL PATHWAYS --- Physiology. --- neurological --- physiology --- Neural networks (Computer science). --- Nerve net. --- NEURAL NETWORKS (COMPUTER). --- neurological. --- 681.3*J3 Life and medical sciences (Computer applications) --- 681.3*J2 Physical sciences and engineering (Computer applications) --- 681.3*I26 Learning: analogies concept learning induction knowledge acquisition language acquisition parameter learning (Artificial intelligence)--See also {681.3*K32} --- 681.3*F11 Models of computation: automata bounded action devices computability theory relations among models self-modifying machines unbounded-action devices--See also {681.3*F41} --- Neural networks (computer). --- Neural pathways --- Neural networks (computer science). --- Neurological. --- Neurale netwerken (Informatica) --- Réseaux neuraux (Informatique) --- Models, Neurological --- Nerve Net --- 681.3*I26 Learning: analogies; concept learning; induction; knowledge acquisition; language acquisition; parameter learning (Artificial intelligence)--See also {681.3*K32} --- Learning: analogies; concept learning; induction; knowledge acquisition; language acquisition; parameter learning (Artificial intelligence)--See also {681.3*K32} --- 681.3*F11 Models of computation: automata; bounded action devices; computability theory; relations among models; self-modifying machines; unbounded-action devices--See also {681.3*F41} --- Models of computation: automata; bounded action devices; computability theory; relations among models; self-modifying machines; unbounded-action devices--See also {681.3*F41} --- Brain - Physiology. --- Computational Neural Networks --- Computational Neural Network --- Computer Neural Network --- Computer Neural Networks --- Network, Computational Neural --- Network, Computer Neural --- Networks, Computational Neural --- Networks, Computer Neural --- Neural Network, Computational --- Neural Network, Computer --- Neural Networks, Computational --- Artificial intelligence. --- Neurosciences. --- Engineering. --- Biology --- Computer science. --- Artificial Intelligence. --- Complexity. --- Computer Appl. in Life Sciences. --- Computation by Abstract Devices. --- Biological and Medical Physics, Biophysics. --- Data processing. --- Construction --- Industrial arts --- Technology --- Neural sciences --- Neurological sciences --- Neuroscience --- Medical sciences --- Nervous system --- Informatics --- Science --- 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
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