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Neural networks

Most popular at the top

  • An Introduction to Neural Networksby Kevin Gurney

    CRC Press 2014; US$ 74.95

    Though mathematical ideas underpin the study of neural networks, the author presents the fundamentals without the full mathematical apparatus. All aspects of the field are tackled, including artificial neurons as models of their real counterparts; the geometry of network action in pattern space; gradient descent methods, including back-propagation;... more...

  • Neural Networks for Instrumentation, Measurement and Related Industrial Applicationsby S. Ablameyko; L. Goras; M. Gori

    IOS Press 2003; US$ 116.00

    This work aims to disseminate theoretical and practical knowledge about neural networks in measurement, instrumentation and the related industrial applications. It also creates a consciousness about the effectiveness of these techniques as well as the measurement problems in industrial environments more...

  • Principles Of Artificial Neural Networksby Daniel Graupe

    World Scientific Publishing Company 2007; US$ 106.00 US$ 92.22

    The book should serve as a text for a university graduate course or for an advanced undergraduate course on neural networks in engineering and computer science departments. It should also serve as a self-study course for engineers and computer scientists in the industry. Covering major neural network approaches and architectures with the theories,... more...

  • Neural Nets WIRN09by B. Apolloni; S. Bassis; C. F. Morabito

    IOS Press 2009; US$ 189.00

    Reports the proceedings of WIRN09, the 19th Italian Workshop of the Italian Society for Neural Networks (SIREN). This book comprises different presentations that promote the understanding of artificial neural networks, collecting papers that involve an interdisciplinary discussion forum on their algorithms, architectures and applications. more...

  • Neural Nets WIRN10by B. Apolloni; S. Bassis; A. Esposito

    IOS Press 2011; US$ 174.00

    This book contains the proceedings of the annual meeting of the Italian Neural Network Society (SIREN), held in Vietri sul Mare, Italy in 2010. Subjects covered include methodological and implementational topics, which are grouped together into chapters devoted to: models, signal processing and other applications. There are also two chapters which... more...

  • Artificial Neural Networksby Kevin L. Priddy; Paul E. Keller

    SPIE 2005; US$ 47.00

    This tutorial text provides the reader with an understanding of artificial neural networks (ANNs) and their application, beginning with the biological systems which inspired them, through the learning methods that have been developed and the data collection processes, to the many ways ANNs are being used today. The material is presented with a minimum... more...

  • Design of Analog Circuits through Symbolic Analysisby Mourad Fakhfakh; Esteban Tlelo-Cuautle; Francisco V. Fernández

    Bentham Science Publishers 2012; US$ 49.00

    This e-book presents, details and exemplifies famous symbolic analysis techniques. Industrial R&D topics, recent developments and future trends in the field of symbolic analysis are also highlighted. This makes the e-book a good resource for circuit analysis. Thus, it is intended for students and researchers as well as for industry designers. more...

  • Neural Nets and Surroundingsby Bruno Apolloni; Simone Bassis; Anna Esposito; Francesco Carlo Morabito

    Springer Berlin Heidelberg 2012; US$ 169.16

    Collecting contributions to the 22nd Italian Workshop on Neural Networks and the yearly meeting of the Italian Society for Neural Networks (SIREN), this book covers the latest research on artificial neural networks and natural intelligence. more...

  • Complex-Valued Neural Networksby Akira Hirose

    Wiley 2013; US$ 133.00 US$ 115.27

    Presents the latest advances in complex-valued neural networks by demonstrating the theory in a wide range of applications Complex-valued neural networks is a rapidly developing neural network framework that utilizes complex arithmetic, exhibiting specific characteristics in its learning, self-organizing, and processing dynamics. They are highly... more...

  • Mathematical Perspectives on Neural Networksby Paul Smolensky; Michael C. Mozer; David E. Rumelhart

    Taylor and Francis 2013; US$ 54.95

    Recent years have seen an explosion of new mathematical results on learning and processing in neural networks. This body of results rests on a breadth of mathematical background which even few specialists possess. In a format intermediate between a textbook and a collection of research articles, this book has been assembled to present a sample of these... more...