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A computational model of natural language communication
interpretation, inference, and production in database semantics
by Hausser,, Roland R.
Publication:
[S.l.]
Springer
2010
. 377 p.
, The ideal of using human language to control machines requires a practical theory of natural language communication that includes grammatical analysis of language signs, plus a model of the cognitive agent, with interfaces for recognition and action, an internal database, and an algorithm for reading content in and out. This book offers a functional framework for theoretical analysis of natural language communication and for practical applications of natural language processing.
23 cm.
Date:
2010
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Items available:
La bibliothèque des lettres et sciences humaines et sociales
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Advanced motion control and sensing for intelligent vehicles /
by Li, Li.
Publication:
[S.l.] :
Springer,
2007
. 448 p. ;
, Advanced Motion Control and Sensing for Intelligent Vehicles provides the latest information in intelligent vehicle control, sensing, and intelligent transportation. It addresses the growing need for safe, comfortable, time and energy-efficient modes of transportation with emphasis on the latest key findings, current trends, and likely future developments in this rapidly expanding field. Highlights: Discusses individual vehicle dynamics, sensory and multiple ground-vehicle interactions Includes systematic review of past and current research achievements Presents case studies in cutting-edge directions such as vehicle steering motion, vehicle vision systems, cooperative driving, intersection safety, and tire pressure monitoring Assesses the likely future developments of this field This book is useful for both practicing engineers and researchers in the automotive industry.
25 cm.
Date:
2007
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Items available:
La bibliothèque des sciences de l'ingéneur
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Advances in Digital Image Processing and Information Technology
First International Conference on Digital Image Processing and Pattern Recognition, DPPR 2011, Tirunelveli, Tamil Nadu, India, September 23-25, 2011. Proceedings /
by Nagamalai, Dhinaharan.
Publication:
Berlin, Heidelberg :
Springer Berlin Heidelberg : | Springer e-books : | Imprint: Springer : | Springer e-books,
2011
. 1 online resource.
Date:
2011
Availability:
Items available:
La bibliothèque des sciences de l'ingéneur
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Applications of pulse-coupled neural networks
by Ma, Yide.
Publication:
[S.l.]
Springer
2010
. 199 p.
, "Applications of Pulse-Coupled Neural Networks" explores the fields of image processing, including image filtering, image segmentation, image fusion, image coding, image retrieval, and biometric recognition, and the role of pulse-coupled neural networks in these fields. This book is intended for researchers and graduate students in artificial intelligence, pattern recognition, electronic engineering, and computer science. Prof. Yide Ma conducts research on intelligent information processing, biomedical image processing, and embedded system development at the School of Information Science and Engineering, Lanzhou University, China.
24 cm.
Date:
2010
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La bibliothèque des sciences de l'ingéneur
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Artificial intelligence :
foundations of computational agents
by Poole, David L.
Publication:
New York
Cambridge University Press
2010
. xvii, 662 pages
, "Recent decades have witnessed the emergence of artificial intelligence as a serious science and engineering discipline. Artificial Intelligence: Foundations of Computational Agents is a textbook aimed at junior to senior undergraduate students and first-year graduate students. It presents artificial intelligence (AI) using a coherent framework to study the design of intelligent computational agents. By showing how basic approaches fit into a multidimensional design space, readers can learn the fundamentals without losing sight of the bigger picture. The book balances theory and experiment, showing how to link them intimately together, and develops the science of AI together with its engineering applications. Although structured as a textbook, the book's straightforward, self-contained style will also appeal to a wide audience of professionals, researchers, and independent learners. AI is a rapidly developing field: this book encapsulates the latest results without being exhaustive and encyclopedic. It teaches the main principles and tools that will allow readers to explore and learn on their own. The text is supported by an online learning environment, AIspace, http://aispace.org, so that students can experiment with the main AI algorithms plus problems, animations, lecture slides, and a knowledge representation system, AIlog, for experimentation and problem solving"--Provided by publisher.
26 cm.
Date:
2010
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Items available:
La bibliothèque des sciences de l'ingéneur
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Artificial neural networks in biological and environmental analysis
by Hanrahan, Grady.
Publication:
Boca Raton, FL
CRC Press
2011
. xxii, 188 pages
, "Drawing on the experience and knowledge of a practicing professional, this book provides a comprehensive introduction and practical guide to the development, optimization, and application of artificial neural networks (ANNs) in modern environmental and biological analysis. Based on our knowledge of the functioning human brain, ANNs serve as a modern paradigm for computing. Presenting basic principles of ANNs together with simulated biological and environmental data sets and real applications in the field, this volume helps scientists comprehend the power of the ANN model to explain physical concepts and demonstrate complex natural processes"--Provided by publisher. | "The cornerstones of research into prospective tools of artificial intelligence originate from knowledge of the functioning brain. Like most transforming scientific endeavors, this field-- once viewed with speculation and doubt--has had profound impacts in helping investigators elucidate complex biological, chemical, and environmental processes. Such efforts have been catalyzed by the upsurge in computational power and availability, with the co-evolution of software, algorithms, and methodologies contributing significantly to this momentum. Whether or not the computational power of such techniques is sufficient for the design and construction of truly intelligent neural systems is of continued debate. In writing Artificial Neural Networks in Biological and Environmental Analysis, my aim was to provide in-depth and timely perspectives on the fundamental, technological, and applied aspects of computational neural networks. By presenting basic principles of neural networks together with real applications in the field, I seek to stimulate communication and partnership among scientists in the fields as diverse as biology, chemistry, mathematics, medicine, and environmental science. This interdisciplinary discourse is essential not only for the success of independent and collaborative research and teaching programs, but also for the continued acquiescence of the use of neural network tools in scientific inquiry"--Provided by publisher.
25 cm.
Date:
2011
Availability:
Items available:
La bibliothèque des Sciences Exactes et Naturelles
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Bio-inspired self-organizing robotic systems
Publication:
[S.l.]
Springer
2011
. 288 p.
, Self-organizing approaches inspired from biological systems, such as social insects, genetic, molecular and cellular systems under morphogenesis, and human mental development, has enjoyed great success in advanced robotic systems that need to work in dynamic and changing environments. Compared with classical control methods for robotic systems, the major advantages of bio-inspired self-organizing robotic systems include robustness, self-repair and self-healing in the presence of system failures and/or malfunctions, high adaptability to environmental changes, and autonomous self-organization and self-reconfiguration without a centralized control. “Bio-inspired Self-organizing Robotic Systems” provides a valuable reference for scientists, practitioners and research students working on developing control algorithms for self-organizing engineered collective systems, such as swarm robotic systems, self-reconfigurable modular robots, smart material based robotic devices, unmanned aerial vehicles, and satellite constellations.
23 cm.
Date:
2011
Availability:
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La bibliothèque des sciences de l'ingéneur
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Computational intelligence and pattern analysis in biology informatics
Publication:
Hoboken, N.J.
John Wiley and Sons
2010
. xix, 372 pages
, "Computational Intelligence (CI) is a successor of artificial intelligence combining elements of learning, adaptation, evolution and logic to create programs that are, in some sense, intelligent. CI exhibits an ability to learn or deal with new situations, such that the system is perceived to possess one or more attributes of reason. The different methodologies in CI work synergistically and provide, in one form or another, flexible information processing capabilities for handling a huge volume of real life data with noises, ambiguity, and missing values. Solving problems often involves search for useful regularities or patterns in large amounts of data. A typical characteristic of biological data is high dimensionality with low sample size. This poses grand challenges to traditional pattern analysis techniques, necessitating the development of sophisticated approaches--Provided by publisher.
25 cm.
Date:
2010
Availability:
Items available:
La bibliothèque des Sciences Exactes et Naturelles
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