Artificial Neural Networks in Financial Trading

View Sample PDF

Author(s): Bruce Vanstone (Bond University, Australia)and Clarence Tan (Bond University, Australia)
Copyright: 2008
Pages: 7
Source title: Intelligent Information Technologies: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Vijayan Sugumaran (Oakland University, Rochester, USA)
DOI: 10.4018/978-1-59904-941-0.ch099

Keywords: Artificial Intelligence / Computer Science & IT / Information Science Reference

Purchase

View Artificial Neural Networks in Financial Trading on the publisher's website for pricing and purchasing information.

Abstract

Soft computing represents that area of computing adapted from the physical sciences. Artificial intelligence (AI) 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 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.).

The IRMA Community

Research IRM

Artificial Neural Networks in Financial Trading

Purchase

Abstract

Related Content

IRMA Sponsors