Publicado por CRC Press, Boca Raton., 1999
ISBN 10: 0849398061 ISBN 13: 9780849398063
Idioma: Inglés
Librería: Tiber Books, Cockeysville, MD, Estados Unidos de America
EUR 16,80
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Añadir al carritoHardcover. Condición: Very Good. 8vo, hardcover. No dj, as issued. Vg+ condition. Single non-circulating ex-lib stamp & label on 2 early pgs (only markings); contents bright, crisp & clean, clearly unread; covers glossy. 394 p.
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Añadir al carritohardcover. Condición: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Añadir al carritoHardcover. Condición: Like New. Like NewLIKE NEW. book.
Librería: Buchpark, Trebbin, Alemania
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Añadir al carritoCondición: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.
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Añadir al carritoCondición: Acceptable. Used - Acceptable. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library with wear and barcode page may have been removed. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
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Añadir al carritoCondición: Like New. Used - Like New. Book is new and unread but may have minor shelf wear. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Publicado por LAP LAMBERT Academic Publishing, 2010
ISBN 10: 384337144X ISBN 13: 9783843371445
Idioma: Inglés
Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 162,75
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Añadir al carritoPaperback. Condición: Like New. Like New. book.
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Librería: preigu, Osnabrück, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. Computational Intelligence Systems and Applications | Neuro-Fuzzy and Fuzzy Neural Synergisms | Marian B. Gorzalczany | Taschenbuch | x | Englisch | 2012 | Physica | EAN 9783662003343 | Verantwortliche Person für die EU: Physica Verlag in Springer Science + Business Media, Tiergartenstr. 15-17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Publicado por Sankt Augustin, infix, 1998
Idioma: Inglés
Librería: Antiquariat Thomas Haker GmbH & Co. KG, Berlin, Alemania
Miembro de asociación: GIAQ
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Añadir al carritoSoftcover/Paperback. Condición: Gut. 384 S. Good condition. Sprache: Englisch Gewicht in Gramm: 825.
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Añadir al carritoHardcover. Condición: Like New. Like New. book.
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Añadir al carritoCondición: Gut. 384 S., graph. Darst. Handschriftlicher Besitzvermerk auf der Vorsatzseite. Innen neuwertig. Proceedings in artificial intelligence ; 7. Aus dem Inhalt: Invited Lectures, Sets, Fuzzy Sets and Rough Sets, Session 1: Fuzzy Control, Session 2: Neutral Networks for Classification, Session 3: Fuzzy Logic in Data Analysis, Session 4: Fuzzy-Neuro Systems, Session 5: Applications, Session6: Theory and Foundations of Fuzzy-Logic, Session 7: Theory and Foundations of Neural Networks, Poster Presentations. Innen tadellos erhalten. deu B12-01-05B|GH52|8477DB Sprache: Deutsch Gewicht in Gramm: 444 24 cm. Original Broschur. Sehr gut erhalten.
Librería: preigu, Osnabrück, Alemania
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Añadir al carritoBuch. Condición: Neu. Computational Intelligence Systems and Applications | Neuro-Fuzzy and Fuzzy Neural Synergisms | Marian B. Gorzalczany | Buch | x | Englisch | 2001 | Physica | EAN 9783790814392 | Verantwortliche Person für die EU: Physica Verlag in Springer Science + Business Media, Tiergartenstr. 15-17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 160,49
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Añadir al carritoBuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Traditional Artificial Intelligence (AI) systems adopted symbolic processing as their main paradigm. Symbolic AI systems have proved effective in handling problems characterized by exact and complete knowledge representation. Unfortunately, these systems have very little power in dealing with imprecise, uncertain and incomplete data and information which significantly contribute to the description of many real world problems, both physical systems and processes as well as mechanisms of decision making. Moreover, there are many situations where the expert domain knowledge (the basis for many symbolic AI systems) is not sufficient for the design of intelligent systems, due to incompleteness of the existing knowledge, problems caused by different biases of human experts, difficulties in forming rules, etc. In general, problem knowledge for solving a given problem can consist of an explicit knowledge (e.g., heuristic rules provided by a domain an implicit, hidden knowledge 'buried' in past-experience expert) and numerical data. A study of huge amounts of these data (collected in databases) and the synthesizing of the knowledge 'encoded' in them (also referred to as knowledge discovery in data or data mining), can significantly improve the performance of the intelligent systems designed.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 160,49
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Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Traditional Artificial Intelligence (AI) systems adopted symbolic processing as their main paradigm. Symbolic AI systems have proved effective in handling problems characterized by exact and complete knowledge representation. Unfortunately, these systems have very little power in dealing with imprecise, uncertain and incomplete data and information which significantly contribute to the description of many real world problems, both physical systems and processes as well as mechanisms of decision making. Moreover, there are many situations where the expert domain knowledge (the basis for many symbolic AI systems) is not sufficient for the design of intelligent systems, due to incompleteness of the existing knowledge, problems caused by different biases of human experts, difficulties in forming rules, etc. In general, problem knowledge for solving a given problem can consist of an explicit knowledge (e.g., heuristic rules provided by a domain an implicit, hidden knowledge 'buried' in past-experience expert) and numerical data. A study of huge amounts of these data (collected in databases) and the synthesizing of the knowledge 'encoded' in them (also referred to as knowledge discovery in data or data mining), can significantly improve the performance of the intelligent systems designed.