Intelligent IS: Artificial neural networks in financial trading

Bruce J Vanstone, Clarence Tan

Research output: Chapter in Book/Report/Conference proceedingChapterResearchpeer-review

Abstract

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).
Original languageEnglish
Title of host publicationEncyclopedia of information science and technology
EditorsMehdi Khosrow-Pour
PublisherIGI Global
Pages163-167
Number of pages5
VolumeI
ISBN (Print)9781591405535
Publication statusPublished - 2005

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Vanstone, B. J., & Tan, C. (2005). Intelligent IS: Artificial neural networks in financial trading. In M. Khosrow-Pour (Ed.), Encyclopedia of information science and technology (Vol. I, pp. 163-167). IGI Global.