Verwandte Artikel zu Neural Networks and Intellect: Using Model-Based Concepts
Inhaltsangabe
Neural Networks and Intellect: Using Model-Based Concepts describes a new mathematical concept of modeling field theory and its applications to a variety of problems. Examining the relationships among mathematics, computations in neural networks, signs and symbols in semiotics, and ideas of mind in psychology and philosophy, this unique text discusses deep philosophical questions in detail and relates them to mathematics and the engineering of intelligence. Ideal for courses in neural networks, modern pattern recognition, and mathematical concepts of intelligence, it will also be of interest to anyone working in a variety of fields including neural networks, AI, cognitive science, fuzzy systems, pattern recognition and machine/computer vision, data mining, robotics, target tracking, and financial forecasting.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Suchergebnisse für Neural Networks and Intellect: Using Model-Based Concepts
Beispielbild für diese ISBN
Neural Networks and Intellect: Using Model-Based Concepts
Verlag:
Oxford University Press, 2000
ISBN 10: 0195111621
ISBN 13: 9780195111620
Gebraucht
Hardcover
Anbieter: ThriftBooks-Dallas, Dallas, TX, USA
Verkäuferbewertung 5 von 5 Sternen
Hardcover. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less. Artikel-Nr. G0195111621I3N00
Gebraucht kaufen
EUR 6,77
Versand gratis
Versand innerhalb von USA
Versand innerhalb von USA
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Neural Networks and Intellect: Using Model Based Concepts
Verlag:
Oxford University Press Inc, 2000
ISBN 10: 0195111621
ISBN 13: 9780195111620
Gebraucht
Hardcover
Anbieter: World of Books (was SecondSale), Montgomery, IL, USA
Verkäuferbewertung 5 von 5 Sternen
Hardback. Zustand: Very Good. This work describes a new mathematical concept of modeling field theory and its applications to a variety of problems while offering a view of the relationships among mathematics, computational concepts in neural networks, semiotics, and concepts of mind in psychology and philosophy. The book is directed towards a diverse audience of students, teachers, researchers, and engineers working in the areas of neural networkss, artificial intelligence, cognitive science, fuzzy systems, pattern recognition and machine/computer vision, data mining, robotics, target tracking, sensor fusion, spectrum analysis, time series analysis, and financial market forecasting. Mathematically inclined philosophers, semioticians, and psychologists will also find many areas of interest. Modeling field neural networks utilize internal "world" models. The concept of internal models of the mind originated in artifical intelligence and cognitive psychology, but its roots date back to Plato and Aristotle. Intelligent systems based on rules utlize models in their final conceptual forms of rules. Like the Eide (Ideas) of Plato, rules lack adaptivity. In modeling field theory, the adaptive models are similar to the Forms of Aristotle and serve as the basis for learning. By combining the a priori knowledge with learning, the most perplexing problems in field of neural networks and intelligent systems are addresses: fast learning and robust generalization. The new mathematics describes a basic instinct for learning and the related affective signals in the learning process. An ability to perceive beauty is shown to be an essential property of adaptive system related to the instinct for learning. The combination of intuition with mathematics provides the foundation of a physical theory of mind. The book reviews most of the mathematical concepts and engineering approaches to the development of intelligent systems discussed since the 1940s. The origin of the Aristotelian mathematics of mind is traced in Grossberg's ART neural network; and its essential component turns to be fuzzy logic. Among the topics disucssed are hierarchical and heterarchical organization of intelligent systems, statistical learning theory, genetic algorithms, complex adaptive systems, mathematical semiotics, the dynamical nature of symbols, Godel theorems and intelligence, emotions and thinking, mathematics of emotional intellect, and consciousness. The author's striking conclusion is that philosphers of the past have been closer to the computational concepts emerging today than pattern recognition and AI experts of just a few years ago. Artikel-Nr. 00106056335
Gebraucht kaufen
EUR 17,47
Versand gratis
Versand innerhalb von USA
Versand innerhalb von USA
Anzahl: 2 verfügbar
Beispielbild für diese ISBN
Neural Networks and Intellect: Using Model-Based Concepts
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. In English. Artikel-Nr. ria9780195111620_new
Neu kaufen
EUR 411,84
EUR 17,43 Versand
Versand von Vereinigtes Königreich nach USA
Versand von Vereinigtes Königreich nach USA
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Neural Networks and Intellect: Using Model Based Concepts
Anbieter: Kennys Bookstore, Olney, MD, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. This is a textbook for courses commonly called neural networks in departments of computer and information science. This unique neural network book will describe novel architectures and learning mechanisms of model-based neural networks that utilize and intriguing concept of an internal "world" model. This concept combines a prior knowledge of models with adaptive learning and addresses the most perplexing problems in the fields of neural networks: fast learning androbust generalization. The author provides an overview of neural networks and artificial intelligence fields, relating hundreds of seemingly disparate techniques to several basic mathematical concepts. He then analyzes fundamental computational concepts of major neural network paradigms, andrelates them to concepts of mind in philosophy, pschology, and linguistics. Relationships of these mathematical concepts to the concepts of philosophy will help students and researchers determine the directions of future research. This book can also be used as a supplementary text in a graduate course on Neural Networks. Num Pages: 496 pages. BIC Classification: JMAQ. Dimension: 246 x 198 x 24. Weight in Grams: 1034. . 2000. Illustrated. hardcover. . . . . Books ship from the US and Ireland. Artikel-Nr. V9780195111620
Neu kaufen
EUR 539,68
EUR 9,26 Versand
Versand innerhalb von USA
Versand innerhalb von USA
Anzahl: Mehr als 20 verfügbar