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Books in Neural networks

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31-38 of 38 results in All results

Mathematical Approaches to Neural Networks

  • 1st Edition
  • Volume 51
  • October 27, 1993
  • J.G. Taylor
  • English
  • eBook
    9 7 8 - 0 - 0 8 - 0 8 8 7 3 9 - 5
The subject of Neural Networks is being seen to be coming of age, after its initial inception 50 years ago in the seminal work of McCulloch and Pitts. It is proving to be valuable in a wide range of academic disciplines and in important applications in industrial and business tasks. The progress being made in each approach is considerable. Nevertheless, both stand in need of a theoretical framework of explanation to underpin their usage and to allow the progress being made to be put on a firmer footing.This book aims to strengthen the foundations in its presentation of mathematical approaches to neural networks. It is through these that a suitable explanatory framework is expected to be found. The approaches span a broad range, from single neuron details to numerical analysis, functional analysis and dynamical systems theory. Each of these avenues provides its own insights into the way neural networks can be understood, both for artificial ones and simplified simulations. As a whole, the publication underlines the importance of the ever-deepening mathematical understanding of neural networks.

Categorization by Humans and Machines

  • 1st Edition
  • September 16, 1993
  • Glenn V. Nakamura + 2 more
  • English
  • eBook
    9 7 8 - 0 - 0 8 - 0 8 6 3 8 0 - 1
The objective of the series has always been to provide a forum in which leading contributors to an area can write about significant bodies of research in which they are involved. The operating procedure has been to invite contributions from interesting, active investigators, and then allow them essentially free rein to present their perspectives on important research problems. The result of such invitations over the past two decades has been collections of papers which consist of thoughtful integrations providing an overview of a particular scientific problem. The series has an excellent tradition of high quality papers and is widely read by researchers in cognitive and experimental psychology.

Biosensors 92 Proceedings

  • 1st Edition
  • May 12, 1992
  • W.R. Heineman + 3 more
  • English
  • eBook
    9 7 8 - 1 - 4 8 3 2 - 9 7 1 7 - 0
Keeping up to date with new biosensors developments has been getting harder ...– one of the fastest moving fields of academic and industrial research in the world– a constant stream of new commercial applications– centres of research excellence all over Europe, North America and the Pacific Rim– enormous implications for monitoring personal health and fitness, the food we eat, the environment, health services and industryThe answer came on 20–22 May 1992, with BIOSENSORS 92. With a core of invited speakers and over 220 original contributed papers from 24 countries, BIOSENSORS 92 was the largest and most comprehensive event of its kind – a response to the growing importance of biosensors as a powerful new technology.Elsevier Advanced Technology, the organizers of BIOSENSORS 92, have now published the proceedings of this important event.Biosensors 92 Proceedings contains over 150 papers presenting current research and developments straight from those who are leading the way in:– Enzyme–based Sensors– Affinity Sensors– Environmental Monitoring using Biosensors– Biosensors and BioelectronicsBiosensors 92 Proceedings – Your key to current awareness in sensor technology for just £90 [dollar rate subject to current £/$ exchange rate].

Introduction to Neural Networks

  • 1st Edition
  • October 18, 1991
  • Architecture Technology Architecture Technology Corpor
  • English
  • eBook
    9 7 8 - 1 - 4 8 3 2 - 9 5 3 0 - 5
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, apparent ease of implementation, and the ability of the technology to develop computers which are able to learn from experience.This report summarizes the topic, providing the reader with an overview of the field and its potential direction. Included is an introduction to the technology and its future directions, as well as a set of examples of possible applications and potential implementation technologies.

Connectionism in Perspective

  • 1st Edition
  • August 23, 1989
  • R. Pfeifer + 3 more
  • English
  • eBook
    9 7 8 - 0 - 4 4 4 - 5 9 8 7 6 - 9
An evaluation of the merits, potential, and limits of Connectionism, this book also illustrates current research programs and recent trends.Connectionism (also known as Neural Networks) is an exciting new field which has brought together researchers from different areas such as artificial intelligence, computer science, cognitive science, neuroscience, physics, and complex dynamics. These researchers are applying the connectionist paradigm in an interdisciplinary way to the analysis and design of intelligent systems.In this book, researchers from the above-mentioned fields not only report on their most recent research results, but also describe Connectionism from the perspective of their own field, looking at issues such as: - the effects and the utility of Connectionism for their field - the potential and limitations of Connectionism - can it be combined with other approaches?

Single Neuron Computation

  • 1st Edition
  • September 12, 1988
  • Thomas M. McKenna + 2 more
  • English
  • eBook
    9 7 8 - 1 - 4 8 3 2 - 9 6 0 6 - 7
This book contains twenty-two original contributions that provide a comprehensive overview of computational approaches to understanding a single neuron structure. The focus on cellular-level processes is twofold. From a computational neuroscience perspective, a thorough understanding of the information processing performed by single neurons leads to an understanding of circuit- and systems-level activity. From the standpoint of artificial neural networks (ANNs), a single real neuron is as complex an operational unit as an entire ANN, and formalizing the complex computations performed by real neurons is essential to the design of enhanced processor elements for use in the next generation of ANNs.The book covers computation in dendrites and spines, computational aspects of ion channels, synapses, patterned discharge and multistate neurons, and stochastic models of neuron dynamics. It is the most up-to-date presentation of biophysical and computational methods.

Advanced Neural Computers

  • 1st Edition
  • May 13, 1988
  • R. Eckmiller
  • English
  • eBook
    9 7 8 - 1 - 4 8 3 2 - 9 4 2 7 - 8
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 report on the state of the art in Neural Computing it forms a reference book for future research in this highly interdisciplinary field and should prove useful in the endeavor to transfer concepts of brain function and structure to novel neural computers with adaptive, dynamical neural net topologies.A feature of the book is the completeness of the references provided. An alphabetical list of all references quoted in the papers is given, as well as a separate list of general references to help newcomers to the field. A subject index and author index also facilitate access to various details.

Adaptive Intelligent Systems

  • 1st Edition
  • March 15, 1987
  • Society for Worldwide Society for Worldwide Interban
  • English
  • eBook
    9 7 8 - 1 - 4 8 3 2 - 9 8 1 5 - 3
Dedicated to the consideration of advanced I.T. technologies and their financial applications, this volume contains contributions from an international group of system developers and managers from academia, the financial industry and their suppliers: all actively involved in the development and practical introduction of these technologies into banking and financial organisations.Concentrating on real experience and present needs, rather than theoretical possibilities or limited prototype applications, it is hoped the publication will give a better insight into advanced I.T. practice and potential as it currently exists and motivate today's developers and researchers.In addition to the discussion of a wide range of technologies and approaches to ensure adaptivity, three other major topics are explored in the book: neural networks, classical software engineering techniques and rule-based systems.