Intelligent IS: Artificial neural networks in financial trading
Research output: Chapter in Book/Report/Conference proceeding › Chapter
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 language | English |
|---|---|
| Title of host publication | Encyclopedia of information science and technology |
| Editors | Mehdi Khosrow-Pour |
| Place of Publication | United States |
| Publisher | IGI Global |
| Pages | 163-167 |
| Number of pages | 5 |
| Volume | I |
| ISBN (print) | 9781591405535 |
| Publication status | Published - 2005 |
| Externally published | Yes |