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Neural networks

Most popular at the top

  • Advanced Neural Computersby R. Eckmiller

    Elsevier Science 2014; US$ 72.95

    This book is the outcome of the International Symposium on Neural Networks for Sensory and Motor Systems (NSMS) held in March 1990 in the FRG. The NSMS symposium assembled 45 invited experts from Europe, America and Japan representing the fields of Neuroinformatics, Computer Science, Computational Neuroscience, and Neuroscience. As a rapidly-published... more...

  • Advances in Independent Component Analysis and Learning Machinesby Ella Bingham; Samuel Kaski; Jorma Laaksonen; Jouko Lampinen

    Elsevier Science 2015; US$ 150.00

    In honour of Professor Erkki Oja, one of the pioneers of Independent Component Analysis (ICA), this book reviews key advances in the theory and application of ICA, as well as its influence on signal processing, pattern recognition, machine learning, and data mining. Examples of topics which have developed from the advances of ICA, which are covered... more...

  • Artificial Neural Nets and Genetic Algorithmsby David W. Pearson; Nigel C. Steele; Rudolf Albrecht

    Springer Vienna 2011; US$ 139.00

    The 2003 edition of ICANNGA marks a milestone in this conference series, because it is the tenth year of its existence. The series began in 1993 with the inaugural conference at Innsbruck in Austria. At that first conference, the organisers decided to organise a similar scientific meeting every two years. As a result, conferences were organised at... 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...

  • Complex-Valued Neural Networksby Akira Hirose

    Wiley 2013; US$ 129.00

    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...

  • 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...

  • Handbook on Neural Information Processingby Monica Bianchini; Marco Maggini; Lakhmi C. Jain

    Springer Berlin Heidelberg 2013; US$ 209.00

    This handbook presents some of the most recent topics in neural information processing, covering both theoretical concepts and practical applications. The contributions include: Deep architectures Recurrent, recursive, and graph neural networks Cellular neural networks Bayesian networks Approximation capabilities of neural networks Semi-supervised... more...

  • An Introduction to Constraint-Based Temporal Reasoningby Roman Barták; Robert A. Morris; K. Brent Venable

    Morgan & Claypool Publishers 2014; US$ 40.00

    Solving challenging computational problems involving time has been a critical component in the development of artificial intelligence systems almost since the inception of the field. This book provides a concise introduction to the core computational elements of temporal reasoning for use in AI systems for planning and scheduling, as well as systems... more...

  • 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...

  • Introduction to Neural Networksby Architecture Technology Corpor

    Elsevier Science 2015; US$ 400.00

    Please note this is a Short Discount publication. Neural network technology has been a curiosity since the early days of computing. Research in the area went into a near dormant state for a number of years, but recently there has been a new increased interest in the subject. This has been due to a number of factors: interest in the military,... more...