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What is fuzzy logic? -- A system of concepts and methods for exploring modes of reasoning that are approximate rather than exact. While the engineering community has appreciated the advances in understanding using fuzzy logic for quite some time, fuzzy logic's impact in non-engineering disciplines is only now being recognized. The authors of Fuzzy Logic in Geology attend to this growing interest in the subject and introduce the use of fuzzy set theory in a style geoscientists can understand. This is followed by individual chapters on topics relevant to earth scientists: sediment modeling, fracture detection, reservoir characterization, clustering in geophysical data analysis, ground water movement, and time series analysis. George Klir is the Distinguished Professor of Systems Science and Director of the Center for Intelligent Systems, Fellow of the IEEE and IFSA, editor of nine volumes, editorial board member of 18 journals, and author or co-author of 16 books Foreword by the inventor of fuzzy logic -- Professor Lotfi Zadeh
Fuzzy logic. --- Geology --- Geografie --- Mathematics. --- Fysische geografie --- Algemeen. --- Fuzzy logic --- Geomathematics --- Mathematical geology --- Nonlinear logic --- Fuzzy mathematics --- Logic, Symbolic and mathematical --- Fuzzy systems --- Mathematics
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Wetenschappelijke uitgave over de ontwikkeling van en paradoxen binnen de logica.
logica --- Logic --- Pure sciences. Natural sciences (general)
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Mathematics --- Mathematics. --- General and Others --- Logic --- Mathematical Analysis & Logic. --- Mathematical Sciences. --- #TS:WBIB --- Periodicals --- Mathematik --- 31.00 mathematics: general --- Mathematical Sciences --- Applied Mathematics --- Mathematical Analysis & Logic --- Algebra --- Mathématiques --- Périodiques --- mathematics
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Logic --- 82.085 --- Reasoning --- #SBIB:309H516 --- Argumentation --- Ratiocination --- Reason --- Thought and thinking --- Judgment (Logic) --- Retorica. Argumentatieleer. Voordrachtkunst --- Verbale communicatie: retoriek --- Reasoning. --- 82.085 Retorica. Argumentatieleer. Voordrachtkunst
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Rédigé dans une langue claire et accessible et illustré par Charb, cet ouvrage constitue une véritable initiation à la pensée critique, plus que jamais indispensable à quiconque veut assurer son autodéfense intellectuelle.
Opinion (Philosophy) --- Opinion (Philosophie) --- #KVHA:Kritisch denken --- Opinie (filosofie) --- Kritisch denken. --- Opinie (filosofie). --- Argumentatie. --- Critical thinking. --- Reasoning. --- Pensée critique --- Raisonnement --- #KVHA:Methodologie --- Critical thinking --- Reasoning --- Philosophy --- Argumentation --- Ratiocination --- Reason --- Thought and thinking --- Judgment (Logic) --- Logic --- Critical reflection --- Evaluative thinking --- Reflection (Critical thinking) --- Reflection process --- Reflective thinking --- Thinking, Critical --- Thinking, Reflective --- Reflective learning --- Argumentation (logique) --- Opinion (philosophie) --- autodéfense intellectuelle --- langage --- logique --- rhétorique --- argumentation --- pensée critique --- esprit critique --- raisonnement --- philosophie --- sciences humaines --- manipulation --- statistiques --- langue --- mathématiques --- jugement rationel --- psychologie --- dissonance cognitive --- médias --- expérience personnelle
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Gottfried Wilhelm Leibniz verdiepte zich niet alleen in de filosofie, maar ook in de wiskunde, fysica, geologie, rechtswetenschap, geschiedenis en geneeskunde. Hij was ook actief als politicus en raadsheer aan het hof. Daarnaast ontwierp hij nieuwe soorten rijtuigen en drainagesystemen voor de mijnen in de Harz. Hij bedacht met succes een manier om fosfor te produceren. Hij organiseerde de verkoop van almanakken om de activiteiten van de Berlijnse Academie van Wetenschappen te bekostigen. en hij was de uitvinder van een van de eerste rekenmachines die in staat was de vier elementaire rekenoperaties uit te voeren. In deze biografie gaat de aandacht vooral uit naar drie aspecten die van fundamenteel belang zijn geweest voor zijn activiteiten als wetenschapper : de logica, de wiskunde en de fysica, in het bijzonder de dynamica. Daarnaast komen zijn onderzoekingen op het gebied van de geologie aan bod. Ook wordt het intrinsieke verband duidelijk tussen wetenschap en filosofie in Leibniz' opvattingen. Leibniz heeft een belangrijke stempel gedrukt op de vorming van ons hedendaags denken en de huidige mentaliteit. Computers, internet en de mathematisering van de logica zijn doordrenkt van een sterke leibniziaanse geest.
Leibniz, von, Gottfried W. --- 510 --- 51 <092> --- 1 LEIBNIZ, GOTTFRIED WILHELM --- #GGSB: Filosofie (17e eeuw) --- 51:93 --- biografieën --- wiskunde --- 155.2 --- Leibniz --- 125 --- Gottfried Wilhelm Leibniz --- Leibniz, Gottfried Wilhelm --- Wiskunde --- 510 Fundamental and general considerations of mathematics. Foundations, logic etc. --- Fundamental and general considerations of mathematics. Foundations, logic etc. --- 1 LEIBNIZ, GOTTFRIED WILHELM Filosofie. Psychologie--LEIBNIZ, GOTTFRIED WILHELM --- Filosofie. Psychologie--LEIBNIZ, GOTTFRIED WILHELM --- 51 <092> Mathematics--Biografieën --- Mathematics--Biografieën --- Werken over wijsgeren ; afzonderlijk --- Filosofie --- Geschiedenis --- Biografieën --- 17e eeuw --- Biografie --- Oudheid --- Boekdrukkunst --- Film (cinematografie) --- Literatuur --- China --- Geneeskunde --- Techniek (wetenschap) --- Romeinse Rijk --- Hellenisme --- Griekenland --- Hellas --- Atlas --- Museum --- Noorwegen --- Film --- Muziek --- Schilderkunst --- Tekenkunst --- Kafka, Franz --- Vlaanderen --- Vlaams --- Emigratie --- Vrouw --- Filosofie (17e eeuw)
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Epistémologie --- Human intelligence --- Intellect --- Intelligence --- Kennisleer --- Mind --- Verstand --- Artificial intelligence. --- Intelligence artificielle --- Artificial intelligence --- 612.821.3 --- 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 --- Evolution (Biology) --- Systèmes auto-organisés --- Sciences cognitives --- Évolution (biologie) --- Intellect. --- Intelligence. --- Intelligence artificielle. --- Systèmes auto-organisés. --- Sciences cognitives. --- Neural Net --- Consciousness --- Fractals --- Psychology
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Deep learning has the reputation as an exclusive domain for math PhDs. Not so. With this book, programmers comfortable with Python will learn how to get started with deep learning right away. Using PyTorch and the fastai deep learning library, you'll learn how to train a model to accomplish a wide range of tasks-including computer vision, natural language processing, tabular data, and generative networks. At the same time, you'll dig progressively into deep learning theory so that by the end of the book you'll have a complete understanding of the math behind the library's functions.
Data mining. --- Natural language processing (Computer science) --- Machine learning. --- Python (Computer program language) --- Artificial intelligence. --- Neural networks (Computer science) --- Data mining --- Machine learning --- Artificial intelligence --- Scripting languages (Computer science) --- NLP (Computer science) --- Electronic data processing --- Human-computer interaction --- Semantic computing --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Learning, Machine --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Exploration de données --- Traitement du langage naturel --- Apprentissage automatique --- deep learning --- data mining --- artificiële intelligentie (AI) --- fastai --- PyTorch
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