Isbn: 9789811374296 - concepts of soft computing: fuzzy and ann with programming (6 resultados)

ISBN
Refinar con la Búsqueda avanzada

Filtrar la búsqueda

  • Libros (6)

a

Intervalo de precios personalizado (EUR)

a

    • Idioma: Inglés

      Editorial: Singapore, Springer., 2019

      9811374295 / 9789811374296

      • Tapa dura

      Librería: Universitätsbuchhandlung Herta Hold GmbH, Berlin, AlemaniaUniversitätsbuchhandlung Herta Hold GmbH

      Vendedor de 4 estrellas
      Contactar con el vendedor

      Miembro de asociación: VDAGIAQILAB

      Condición: Usado

      EUR 17,00

      Envío por EUR 30,00 
      Se envía de Alemania a Estados Unidos de America

      Cantidad disponible: 1 disponibles

      XXII, 195 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.

    • Idioma: Inglés

      Editorial: Springer, 2019

      9811374295 / 9789811374296

      • Tapa dura

      Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

      Vendedor de 5 estrellas
      Contactar con el vendedor

      Condición: Nuevo

      EUR 87,88

      Envío por EUR 30,50 
      Se envía de Alemania a Estados Unidos de America

      Cantidad disponible: 1 disponibles

      Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book discusses soft computing, which provides an efficient platform to deal with imprecision, uncertainty, vagueness and approximation in order to attain robustness and reliable computing. It explores two major concepts of soft computing: fuzzy set theory and neural networks, which relate to uncertainty handling and machine learning techniques respectively. Generally, fuzzy sets are considered as vague or uncertain sets having membership function lying between 0 and 1, and ANN is a type of artificial intelligence that attempts to imitate the way a human brain works by configuring specific applications, for instance pattern recognition or data classification, through learning processes. The book also presents C/MATLAB programming codes related to the basics of fuzzy set, interval arithmetic and ANN in a concise, practical and adaptable manner along, with simple examples and self-validation unsolved practice questions in few cases.

    • Idioma: Inglés

      Editorial: Springer, 2019

      9811374295 / 9789811374296

      • Tapa dura
      • Impresión bajo demanda

      Librería: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand

      Vendedor de 5 estrellas
      Contactar con el vendedor

      Condición: Nuevo

      EUR 66,23

      Envío por EUR 11,00 
      Se envía de Italia a Estados Unidos de America

      Cantidad disponible: Más de 20 disponibles

      Condición: new. Questo è un articolo print on demand.

    • Idioma: Inglés

      Editorial: Springer Nature Singapore Mai 2019, 2019

      9811374295 / 9789811374296

      • Tapa dura
      • Impresión bajo demanda

      Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.

      Vendedor de 5 estrellas
      Contactar con el vendedor

      Condición: Nuevo

      EUR 80,24

      Envío por EUR 23,00 
      Se envía de Alemania a Estados Unidos de America

      Cantidad disponible: 2 disponibles

      Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book discusses soft computing, which provides an efficient platform to deal with imprecision, uncertainty, vagueness and approximation in order to attain robustness and reliable computing. It explores two major concepts of soft computing: fuzzy set theory and neural networks, which relate to uncertainty handling and machine learning techniques respectively. Generally, fuzzy sets are considered as vague or uncertain sets having membership function lying between 0 and 1, and ANN is a type of artificial intelligence that attempts to imitate the way a human brain works by configuring specific applications, for instance pattern recognition or data classification, through learning processes. The book also presents C/MATLAB programming codes related to the basics of fuzzy set, interval arithmetic and ANN in a concise, practical and adaptable manner along, with simple examples and self-validation unsolved practice questions in few cases 220 pp. Englisch.

    • Idioma: Inglés

      Editorial: Springer Singapore, 2019

      9811374295 / 9789811374296

      • Tapa dura
      • Impresión bajo demanda

      Librería: moluna, Greven, Alemaniamoluna

      Vendedor de 5 estrellas
      Contactar con el vendedor

      Condición: Nuevo

      EUR 68,62

      Envío por EUR 48,99 
      Se envía de Alemania a Estados Unidos de America

      Cantidad disponible: Más de 20 disponibles

      Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Covers the basics of classical interval arithmetic, fuzzy set theory, and ANNDiscusses applications of intervals and fuzzy sets in equation systems and eigenvalue problems for solving static and dynamic structural problemsIncludes solved .

    • Idioma: Inglés

      Editorial: Springer, Springer Mai 2019, 2019

      9811374295 / 9789811374296

      • Tapa dura
      • Impresión bajo demanda

      Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000

      Vendedor de 5 estrellas
      Contactar con el vendedor

      Condición: Nuevo

      EUR 80,24

      Envío por EUR 60,00 
      Se envía de Alemania a Estados Unidos de America

      Cantidad disponible: 1 disponibles

      Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book discusses soft computing, which provides an efficient platform to deal with imprecision, uncertainty, vagueness and approximation in order to attain robustness and reliable computing. It explores two major concepts of soft computing: fuzzy set theory and neural networks, which relate to uncertainty handling and machine learning techniques respectively. Generally, fuzzy sets are considered as vague or uncertain sets having membership function lying between 0 and 1, and ANN is a type of artificial intelligence that attempts to imitate the way a human brain works by configuring specific applications, for instance pattern recognition or data classification, through learning processes.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 220 pp. Englisch.