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Applications of pulse-coupled neural networks par 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 Disponibilité : Exemplaires disponibles: La bibliothèque des sciences de l'ingénieur (1),

Artificial neural networks in biological and environmental analysis par 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 Disponibilité : Exemplaires disponibles: La bibliothèque des Sciences Exactes et Naturelles (1),

Neural networks and qualitative physics par Aubin, Jean Pierre. Publication : Cambridge | New York Cambridge University Press 1996 . xvii, 283 pages 24 cm. Date : 1996 Disponibilité : Exemplaires disponibles: La bibliothèque des sciences de l'ingénieur (1),

Neural networks in a softcomputing framework par Du, Ke-Lin. Publication : [S.l.] Springer 2010 . 616 p. , This concise but comprehensive textbook reviews the most popular neural-network methods and their associated techniques. Each chapter provides state-of-the-art descriptions of important major research results of the respective neural-network methods. A range of relevant computational intelligence topics, such as fuzzy logic and evolutionary algorithms – powerful tools for neural-network learning – are introduced. The systematic survey of neural-network models and exhaustive references list will point readers toward topics for future research. The algorithms outlined also make this textbook a valuable reference for scientists and practitioners working in pattern recognition, signal processing, speech and image processing, data analysis and artificial intelligence. 24 cm. Date : 2010 Disponibilité : Exemplaires disponibles: La bibliothèque des sciences de l'ingénieur (1),

Neural networks methodology and applications par Dreyfus, Gerard. Publication : [S.l.] Springer 2010 . 498 p. , Neural networks represent a powerful data processing technique that has reached maturity and broad application. When clearly understood and appropriately used, they are a mandatory component in the toolbox of any engineer who wants make the best use of the available data, in order to build models, make predictions, mine data, recognize shapes or signals, etc. Ranging from theoretical foundations to real-life applications, this book is intended to provide engineers and researchers with clear methodologies for taking advantage of neural networks in industrial, financial or banking applications, many instances of which are presented in the book. For the benefit of readers wishing to gain deeper knowledge of the topics, the book features appendices that provide theoretical details for greater insight, and algorithmic details for efficient programming and implementation. The chapters have been written by experts and edited to present a coherent and comprehensive, yet not redundant, practically oriented introduction. 23 cm. Date : 2010 Disponibilité : Exemplaires disponibles: La bibliothèque des sciences de l'ingénieur (1),

Neural Networks with Discontinuous/Impact Activations par Akhmet, Marat. Publication : . XI, 168 p. 28 illus., 23 illus. in color. Disponibilité :  http://dx.doi.org/10.1007/978-1-4614-8566-7,

Type-2 Fuzzy Neural Networks and Their Applications par Aliev, Rafik Aziz. Publication : . XIII, 190 p. 73 illus. Disponibilité :  http://dx.doi.org/10.1007/978-3-319-09072-6,

Index Matrices: Towards an Augmented Matrix Calculus par Atanassov, Krassimir T. Publication : . XII, 110 p. 20 illus. Disponibilité :  http://dx.doi.org/10.1007/978-3-319-10945-9,

Engineering General Intelligence, Part 1 A Path to Advanced AGI via Embodied Learning and Cognitive Synergy / par Goertzel, Ben. Publication : . XXII, 409 p. 105 illus., 32 illus. in color. Disponibilité :  http://dx.doi.org/10.2991/978-94-6239-027-0,

Practical Iterative Learning Control with Frequency Domain Design and Sampled Data Implementation par Wang, Danwei. Publication : . XII, 226 p. 162 illus., 120 illus. in color. Disponibilité :  http://dx.doi.org/10.1007/978-981-4585-60-6,

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