Intelligent IS — Artificial Neural Networks in Financial Trading
  • Bruce J Vanstone , Bond University
  • Clarence Tan , Bond University
Contribution to Book
Date of this Version
1-1-2005
Document Type
Book Chapter
Publication Details
Vanstone, B and Tan, C (2005) Intelligent IS —Artificial Neural Networks in Financial Trading in Encyclopedia of Information Science and Technology, Volume I, M. Khosrow-Pour (ed.), 2005, IGI Publishing, 7pp.

Copyright ©IGI Global, 2005.
Abstract

From the Introduction:

Soft computing represents that area of computing adapted from the physical sciences. Artificial Intelligence techniques within this realm attempt to solve problems by applying physical laws and processes. This style of computing is particularly tolerant of imprecision and uncertainty, making the approach attractive to those researching within 'noisy' realms, where the signal-to-noise ratio is quite low. Soft computing is normally accepted to include the three key areas of Fuzzy Logic, Artificial Neural Networks, and Probabilistic Reasoning (which includes Genetic Algorithms, Chaos Theory, etc).

Citation Information
Bruce J Vanstone and Clarence Tan. "Intelligent IS — Artificial Neural Networks in Financial Trading"
Available at: http://works.bepress.com/clarence_tan/5/