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Neural networks

Most popular at the top

  • 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...

  • 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...

  • Neural Networks in Design and Manufacturingby Ju Wang; Yoshiyasu Takefuji

    World Scientific Publishing Company 1993; US$ 189.00

    Over the past few years, there has been a surge of research activities on artificial neural networks. Although the thrust originally came from computer scientists and electrical engineers, neural network research has recently attracted researchers in the fields of operations research, operations management and industrial engineering.Despite the huge... more...

  • Handbook on Neural Information Processingby

    Springer Berlin Heidelberg 2013; US$ 179.00

    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...

  • Radial Basis Function Neural Networks with Sequential Learning, Progress in Neural Processingby N. Sundararajan; P. Saratchandran; Lu Ying Wei

    World Scientific Publishing Company 1999; US$ 87.00

    This book presents in detail the newly developed sequential learning algorithm for radial basis function neural networks, which realizes a minimal network. This algorithm, created by the authors, is referred to as Minimal Resource Allocation Networks (MRAN). The book describes the application of MRAN in different areas, including pattern recognition,... more...

  • Systemtheorie 1by Rolf Unbehauen

    De Gruyter 2002; US$ 140.00

    Seit vier Jahrzehnten das Standardwerk zur Systemtheorie! Die Themen des ersten Bandes - Allgemeine Grundlagen und Signale sowie lineare Systeme im Zeit- und Frequenzbereich - werden im zweiten Band um mehrdimensionale, adaptive und nichtlineare Systeme sowie um die Chaostheorie und die neuronalen Systeme erweitert. Damit wird der Weiterentwicklung... more...

  • Neural Networks for Knowledge Representation and Inferenceby Daniel S. Levine; Daniel S. Levine; Manuel Aparicio IV

    Taylor and Francis 2013; US$ 63.95

    The second published collection based on a conference sponsored by the Metroplex Institute for Neural Dynamics -- the first is Motivation, Emotion, and Goal Direction in Neural Networks (LEA, 1992) -- this book addresses the controversy between symbolicist artificial intelligence and neural network theory. A particular issue is how well neural networks... 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...

  • Neural Networks for Perceptionby Harry Wechsler

    Elsevier Science 2014; US$ 93.95

    Neural Networks for Perception, Volume 1: Human and Machine Perception focuses on models for understanding human perception in terms of distributed computation and examples of PDP models for machine perception. This book addresses both theoretical and practical issues related to the feasibility of both explaining human perception and implementing... more...

  • Introduction to Neural Networksby Architecture Technology Corpor

    Elsevier Science 2014; 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...