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Intelligent IS: Artificial neural networks in financial trading

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Standard Standard

Intelligent IS: Artificial neural networks in financial trading. / Vanstone, Bruce J; Tan, Clarence.
Encyclopedia of information science and technology. ed. / Mehdi Khosrow-Pour. Vol. I United States: IGI Global, 2005. p. 163-167.

Research output: Chapter in Book/Report/Conference proceeding › Chapter

HarvardHarvard

Vanstone, BJ & Tan, C 2005, Intelligent IS: Artificial neural networks in financial trading. in M Khosrow-Pour (ed.), Encyclopedia of information science and technology. vol. I, IGI Global, United States, pp. 163-167.

APA

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.

CBE

Vanstone BJ, Tan C. 2005. Intelligent IS: Artificial neural networks in financial trading. Khosrow-Pour M, editor. In Encyclopedia of information science and technology. United States: IGI Global. pp. 163-167.

MLA

Vanstone, Bruce J and Clarence Tan "Intelligent IS: Artificial neural networks in financial trading". Khosrow-Pour, Mehdi (ed.). Encyclopedia of information science and technology. United States: IGI Global. 2005, 163-167.

VancouverVancouver

Vanstone BJ, Tan C. Intelligent IS: Artificial neural networks in financial trading. In Khosrow-Pour M, editor, Encyclopedia of information science and technology. Vol. I. United States: IGI Global. 2005. p. 163-167

Author

Vanstone, Bruce J ; Tan, Clarence. / Intelligent IS: Artificial neural networks in financial trading. Encyclopedia of information science and technology. editor / Mehdi Khosrow-Pour. Vol. I United States : IGI Global, 2005. pp. 163-167

RIS

TY - CHAP

T1 - Intelligent IS: Artificial neural networks in financial trading

AU - Vanstone, Bruce J

AU - Tan, Clarence

PY - 2005

Y1 - 2005

N2 - 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).

AB - 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).

M3 - Chapter

SN - 9781591405535

VL - I

SP - 163

EP - 167

BT - Encyclopedia of information science and technology

A2 - Khosrow-Pour, Mehdi

PB - IGI Global

CY - United States

ER -