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).
|Title of host publication||Encyclopedia of information science and technology|
|Number of pages||5|
|Publication status||Published - 2005|
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.