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    New Directions in Neural Networks 18th Italian Workshop on Neural Networks: WIRN 2008 - Volume 193 Frontiers in Artificial Intelligence and Applications

    ISBN-10: 1586039849
    ISBN-13: 9781586039844
    Author(s): B. Apolloni, S. Bassis, M. Marinaro
    Description: The book is a collection of selected papers from the 18th WIRN workshop, the annual meeting of the Italian Neural Networks Society (SIREN). As the number 18 marks the year young people come of age in Italy, the society invited two generations of  More...
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    Publisher: IOS Press, Incorporated
    Binding: Hardcover
    Pages: 245
    Size: 6.50" wide x 9.50" long x 0.75" tall
    Weight: 1.430
    Language: English

    The book is a collection of selected papers from the 18th WIRN workshop, the annual meeting of the Italian Neural Networks Society (SIREN). As the number 18 marks the year young people come of age in Italy, the society invited two generations of researchers to participate in a discussion on neural networks: those new to the field and those with extensive familiarity with the neural paradigm. The challenge laid in understanding what remains of the revolutionary ideas from which neural networks stemmed in the eighties, how these networks have evolved and influenced other research fields, and ultimately, what the new conceptual/methodological frontiers are that need to be trespassed for a better exploitation of the information carried by data. This book presents the outcome of this discussion. New Directions in Neural Networks is divided in two general subjects, models and applications and two specific ones, economy and complexity and remote sensing image processing. The editors of this book have set out to publish a scientific contribution to the discovery of new forms of cooperative work that are necessary today for the invention of efficient computational systems and new social paradigms.

    Bruno Apolloni is Full Professor in Computer Science in the University of Milano, Italy. His main research interests are at the frontier area between probability and mathematical statistics and computer science, with special interest to pattern recognition and multivariate data analysis, probabilistic analysis of algorithms, subsymbolic and symbolic learning processes, and fuzzy systems.Witold Pedrycz is Professor and Canada Research Chair (CRC) in the Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada. He is also with the Systems Research Institute of the Polish Academy of Sciences. His dominant research is in Computational Intelligence, fuzzy modeling, knowledge discovery and data mining, pattern recognition, and knowledge-based neural networks.Dario Malchiodi is Assistant Professor in the Computer Science Department, University of Milano, Italy. His research activities concern the treatment of uncertain information and related aspects of mathematical statistics and artificial intelligence, including applications to machine learning and relevance learning. Simone Bassis is an assistant professor in the Department of Computer Science, University of Milano, Italy. His main research activities concern the inference of spatial and temporal processes, including linear and nonlinear statistical regression, fractal processes identification, and evolutionary dynamics.

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