Catalogue Bibliothèque de L'IMIST/CNRST › Résultats de la recherche pour 'ccl=su:Artificial intelligence and ( (allrecords,AlwaysMatches='') and (not-onloan-count,st-numeric >= 1) and (lost,st-numeric=0) )'

Wind power systems applications of computational intelligence par Wang, Lingfeng Publication : Berlin Springer 2010 . 437 p. , Renewable energy sources such as wind power have attracted much attention because they are environmentally friendly, do not produce carbon dioxide and other emitants, and can enhance a nation’s energy security. For example, recently more significant amounts of wind power are being integrated into conventional power grids. Therefore, it is necessary to address various important and challenging issues related to wind power systems, which are significantly different from the traditional generation systems. This book is a resource for engineers, practitioners, and decision-makers interested in studying or using the power of computational intelligence based algorithms in handling various important problems in wind power systems at the levels of power generation, transmission, and distribution. Researchers have been developing biologically-inspired algorithms in a wide variety of complex large-scale engineering domains. Distinguished from the traditional analytical methods, the new methods usually accomplish the task through their computationally efficient mechanisms. Computational intelligence methods such as evolutionary computation, neural networks, and fuzzy systems have attracted much attention in electric power systems. Meanwhile, modern electric power systems are becoming more and more complex in order to meet the growing electricity market. In particular, the grid complexity is continuously enhanced by the integration of intermittent wind power as well as the current restructuring efforts in electricity industry. Quite often, the traditional analytical methods become less efficient or even unable to handle this increased complexity. As a result, it is natural to apply computational intelligence as a powerful tool to deal with various important and pressing problems in the current wind power systems. This book presents the state-of-the-art development in the field of computational intelligence applied to wind power systems by reviewing the most up-to-date work and representative practical problems collecting contributions from leading experts in electrical engineering, system engineering, and other disciplines. 24 cm. Date : 2010 Disponibilité : Exemplaires disponibles: La bibliothèque des sciences de l'ingénieur (1),

		Computer recognition systems 3 Publication : [S.l.] Springer 2009 . 614 p. , The computer recognition systems are nowadays one of the most promising directions in artificial intelligence. This book is the most comprehensive study of this field. It contains a collection of 69 carefully selected articles contributed by experts of pattern recognition. It reports on current research with respect to both methodology and applications. In particular, it includes the following sections: Features, learning and classifiers, Image processing and computer vision, Speech and word recognition, Medical applications, Miscellaneous applications. This book is a great reference tool for scientists who deal with the problems of designing computer pattern recognition systems. Its target readers can be the as well researchers as students of computer science, artificial intelligence or robotics. 24 cm. Date : 2009 Disponibilité : Exemplaires disponibles: La bibliothèque des sciences de l'ingénieur (1), Réserver Ajouter au panier (Supprimer)
		Evolutionary image analysis and signal processing Publication : Berlin \| Heidelberg Springer 2009 . 204 p. , This book on Evolutionary Image Analysis and Signal Processing, besides celebrating ten years of EvoIASP, the only event specifically dedicated to this topic since 1999, offers readers a panoramic view of what can be presently achieved using Evolutionary Computation techniques in computer vision, pattern recognition, and image and signal processing. Its chapters mostly consist of extended versions of a selection of papers which were presented at recent editions of EvoIASP. The book includes examples which span, rather uniformly, the whole range of roles Evolutionary Computation techniques may have in such applications, from representing optimization tools used to tune or refine parameters or components of a mostly predefined solution up to situations where the solution itself is intrinsically evolutionary. 24 cm. Date : 2009 Disponibilité : Exemplaires disponibles: La bibliothèque des sciences de l'ingénieur (1), Réserver Ajouter au panier (Supprimer)
		Machine learning in document analysis and recognition Publication : [S.l.] Springer 2008 . 434 p. , The objective of Document Analysis and Recognition (DAR) is to recognize the text and graphical components of a document and to extract information. This book is a collection of research papers and state-of-the-art reviews by leading researchers all over the world including pointers to challenges and opportunities for future research directions. The main goals of the book are identification of good practices for the use of learning strategies in DAR, identification of DAR tasks more appropriate for these techniques, and highlighting new learning algorithms that may be successfully applied to DAR. 25 cm. Date : 2008 Disponibilité : Exemplaires disponibles: La bibliothèque des sciences de l'ingénieur (1), Réserver Ajouter au panier (Supprimer)
		Soft Computing Applications / par Bonarini, Andrea. Publication : Heidelberg : Physica-Verlag HD : \| Imprint : \| Physica, 2003 . 1 online resource (viii, 229 pages). Date : 2003 Disponibilité : Exemplaires disponibles: La bibliothèque des sciences de l'ingénieur (1), Réserver Ajouter au panier (Supprimer)
		Wind power systems applications of computational intelligence par Wang, Lingfeng Publication : Berlin Springer 2010 . 437 p. , Renewable energy sources such as wind power have attracted much attention because they are environmentally friendly, do not produce carbon dioxide and other emitants, and can enhance a nation’s energy security. For example, recently more significant amounts of wind power are being integrated into conventional power grids. Therefore, it is necessary to address various important and challenging issues related to wind power systems, which are significantly different from the traditional generation systems. This book is a resource for engineers, practitioners, and decision-makers interested in studying or using the power of computational intelligence based algorithms in handling various important problems in wind power systems at the levels of power generation, transmission, and distribution. Researchers have been developing biologically-inspired algorithms in a wide variety of complex large-scale engineering domains. Distinguished from the traditional analytical methods, the new methods usually accomplish the task through their computationally efficient mechanisms. Computational intelligence methods such as evolutionary computation, neural networks, and fuzzy systems have attracted much attention in electric power systems. Meanwhile, modern electric power systems are becoming more and more complex in order to meet the growing electricity market. In particular, the grid complexity is continuously enhanced by the integration of intermittent wind power as well as the current restructuring efforts in electricity industry. Quite often, the traditional analytical methods become less efficient or even unable to handle this increased complexity. As a result, it is natural to apply computational intelligence as a powerful tool to deal with various important and pressing problems in the current wind power systems. This book presents the state-of-the-art development in the field of computational intelligence applied to wind power systems by reviewing the most up-to-date work and representative practical problems collecting contributions from leading experts in electrical engineering, system engineering, and other disciplines. 24 cm. Date : 2010 Disponibilité : Exemplaires disponibles: La bibliothèque des sciences de l'ingénieur (1), Réserver Ajouter au panier (Supprimer)
		Applied Graph Theory in Computer Vision and Pattern Recognition par Kandel, Abraham. Publication : Berlin, Heidelberg Springer-Verlag Berlin Heidelberg 2007 . TXT , Titre de l'écran-titre (visionné le 2 juillet 2008). Date : 2007 Disponibilité : Exemplaires disponibles: La bibliothèque des sciences de l'ingénieur (1), Réserver Ajouter au panier (Supprimer)
		Foundations of Computational, Intelligence Volume 1. Publication : Springer Berlin Heidelberg, 2009 . 397p. , Visionné le 4 août 2009. Date : 2009 Disponibilité : Exemplaires disponibles: La bibliothèque des sciences de l'ingénieur (1), Réserver Ajouter au panier (Supprimer)
		Computational Intelligence A Methodological Introduction / par Kruse, Rudolf. Publication : . XII, 492 p. Disponibilité : http://dx.doi.org/10.1007/978-1-4471-5013-8, Ajouter au panier (Supprimer)
		Geometry of Knowledge for Intelligent Systems par Resconi, Germano. Publication : . X, 282 p. Disponibilité : http://dx.doi.org/10.1007/978-3-642-27972-0, Ajouter au panier (Supprimer)
		Risk Assessment and Management in the Networked Economy par Hussain, Omar K. Publication : . XXVI, 290 p. Disponibilité : http://dx.doi.org/10.1007/978-3-642-28690-2, Ajouter au panier (Supprimer)
		Generating Analog IC Layouts with LAYGEN II par Martins, Ricardo M. F. Publication : . XI, 98 p. Disponibilité : http://dx.doi.org/10.1007/978-3-642-33146-6, Ajouter au panier (Supprimer)
		Proceedings of The Eighth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA), 2013 Publication : . XXII, 1265 p. 428 illus. Disponibilité : http://dx.doi.org/10.1007/978-3-642-37502-6, Ajouter au panier (Supprimer)
		Advances in Probabilistic Databases for Uncertain Information Management Publication : . VIII, 161 p. Disponibilité : http://dx.doi.org/10.1007/978-3-642-37509-5, Ajouter au panier (Supprimer)
		Dimensionality Reduction with Unsupervised Nearest Neighbors par Kramer, Oliver. Publication : . XII, 132 p. 48 illus., 45 illus. in color. Disponibilité : http://dx.doi.org/10.1007/978-3-642-38652-7, Ajouter au panier (Supprimer)
		Subspace Methods for Pattern Recognition in Intelligent Environment Publication : . XVI, 199 p. 99 illus., 52 illus. in color. Disponibilité : http://dx.doi.org/10.1007/978-3-642-54851-2, Ajouter au panier (Supprimer)
		Proceedings of the Third International Conference on Soft Computing for Problem Solving SocProS 2013, Volume 2 / Publication : . XVI, 991 p. 335 illus. Disponibilité : http://dx.doi.org/10.1007/978-81-322-1768-8, Ajouter au panier (Supprimer)
		Proceedings of the Third International Conference on Soft Computing for Problem Solving SocProS 2013, Volume 1 / Publication : . XVI, 929 p. 339 illus. Disponibilité : http://dx.doi.org/10.1007/978-81-322-1771-8, Ajouter au panier (Supprimer)
		The 3rd International Workshop on Intelligent Data Analysis and Management Publication : . X, 132 p. Disponibilité : http://dx.doi.org/10.1007/978-94-007-7293-9, Ajouter au panier (Supprimer)
		Soft Computing for Information Processing and Analysis / par Nikravesh, Masoud. Publication : . ix-456 pages Disponibilité : Exemplaires disponibles: La bibliothèque des sciences de l'ingénieur (1), Réserver Ajouter au panier (Supprimer)

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