Librería: a2zbooks, Burgin, KY, Estados Unidos de America
EUR 48,81
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: Very Good. Mild shelf wear and scuffing to cover, interior of book appears as new. Quantity Available: 1. Shipped Weight: Under 1 kilo. Category: Science & Technology; ISBN: 1402016301. ISBN/EAN: 9781402016301. Pictures of this item not already displayed here available upon request. Inventory No: 1561034452.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 163,13
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. In.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 163,12
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 179,89
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 180,65
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 181,66
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por Kluwer Academic Publishers, 2003
ISBN 10: 1402016301 ISBN 13: 9781402016301
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 197,79
Cantidad disponible: 15 disponibles
Añadir al carritoCondición: New. Covers the theoretical and application aspects of neural networks, fuzzy logic, genetic algorithms and hybrid intelligent techniques in robotics. This work emphasises the development of efficient learning rules for robotic connectionist training and synthesis of neural learning algorithms for low-level control in the domain of compliance tasks. Series: Intelligent Systems, Control and Automation: Science and Engineering. Num Pages: 296 pages, biography. BIC Classification: TJFM1. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 235 x 155 x 19. Weight in Grams: 628. . 2003. Hardback. . . . .
Librería: moluna, Greven, Alemania
EUR 175,09
Cantidad disponible: Más de 20 disponibles
Añadir al carritoGebunden. Condición: New. As robotic systems make their way into standard practice, they have opened the door to a wide spectrum of complex applications. Such applications usually demand that the robots be highly intelligent. Future robots are likely to have greater sensory capabili.
Idioma: Inglés
Publicado por Kluwer Academic Publishers, 2003
ISBN 10: 1402016301 ISBN 13: 9781402016301
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 246,69
Cantidad disponible: 15 disponibles
Añadir al carritoCondición: New. Covers the theoretical and application aspects of neural networks, fuzzy logic, genetic algorithms and hybrid intelligent techniques in robotics. This work emphasises the development of efficient learning rules for robotic connectionist training and synthesis of neural learning algorithms for low-level control in the domain of compliance tasks. Series: Intelligent Systems, Control and Automation: Science and Engineering. Num Pages: 296 pages, biography. BIC Classification: TJFM1. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 235 x 155 x 19. Weight in Grams: 628. . 2003. Hardback. . . . . Books ship from the US and Ireland.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 220,07
Cantidad disponible: 2 disponibles
Añadir al carritoBuch. Condición: Neu. Neuware - As robotic systems make their way into standard practice, they have opened the door to a wide spectrum of complex applications. Such applications usually demand that the robots be highly intelligent. Future robots are likely to have greater sensory capabilities, more intelligence, higher levels of manual dexter ity, and adequate mobility, compared to humans. In order to ensure high-quality control and performance in robotics, new intelligent control techniques must be developed, which are capable of coping with task complexity, multi-objective decision making, large volumes of perception data and substantial amounts of heuristic information. Hence, the pursuit of intelligent autonomous robotic systems has been a topic of much fascinating research in recent years. On the other hand, as emerging technologies, Soft Computing paradigms consisting of complementary elements of Fuzzy Logic, Neural Computing and Evolutionary Computation are viewed as the most promising methods towards intelligent robotic systems. Due to their strong learning and cognitive ability and good tolerance of uncertainty and imprecision, Soft Computing techniques have found wide application in the area of intelligent control of robotic systems.