Advertisement

Neural Network Data Analysis Using Simulnet™

  • Edward J. Rzempoluck

Table of contents

  1. Front Matter
    Pages i-viii
  2. Edward J. Rzempoluck
    Pages 1-4
  3. Edward J. Rzempoluck
    Pages 5-12
  4. Edward J. Rzempoluck
    Pages 13-170
  5. Edward J. Rzempoluck
    Pages 171-202
  6. Edward J. Rzempoluck
    Pages 203-211
  7. Back Matter
    Pages 213-226

About this book

Introduction

Scope of this Text This text is intended to provide the reader with an introduction to the analysis of numeri­ cal data using neural networks. Neural networks as data analytic tools allow data to be analyzed in order to discover and model the functional relationships among the recorded variables. Such data may be empirical. It may originate in an experiment in which the values of one or more dependent variables are recorded as one or more independent vari­ ables are manipulated. Alternatively, the data may be observational rather than empirical in nature, representing historical records of the behavior of some set of variables. An ex­ ample would be the values of a number of financial commodities, such as stocks or bonds. Finally, the data may originate in a computational model of some physical proc­ ess. Instead of recording variables of the physical process, the computer model could be run to generate an artificial analog of the physical data. Since data in virtually any native form can be expressed in numerical format, the scope of the analytical techniques and procedures that will be presented in this text is es­ sentially unlimited. Sources of data include research work in a range of disciplines as di­ verse as neuroscience, biomedicine, geophysics, psychology, sociology, archeology, eco­ nomics, and astrophysics. An often fruitful approach to data analysis involves the use of neural network func­ tions.

Keywords

algorithms correlation data analysis filtering genetic algorithms learning principal component analysis probabilistic network

Authors and affiliations

  • Edward J. Rzempoluck
    • 1
  1. 1.Brain-Behaviour Laboratory School of Applied SciencesSimon Fraser UniversityBurnabyCanada

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4612-1746-6
  • Copyright Information Springer-Verlag New York, Inc. 1998
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4612-7262-5
  • Online ISBN 978-1-4612-1746-6
  • Buy this book on publisher's site
Industry Sectors
Pharma
Chemical Manufacturing
Biotechnology
Finance, Business & Banking
Electronics
IT & Software
Telecommunications
Consumer Packaged Goods
Energy, Utilities & Environment
Engineering