TY - GEN
T1 - Neural networks, fuzzy inference systems and adaptive-neuro fuzzy inference systems for financial decision making
AU - Patel, Pretesh B.
AU - Marwala, Tshilidzi
PY - 2006
Y1 - 2006
N2 - This paper employs pattern classification methods for assisting investors in making financial decisions. Specifically, the problem entails the categorization of investment recommendations. Based on the forecasted performance of certain indices, the Stock Quantity Selection Component is to recommend to the investor to purchase stocks, hold the current investment position or sell stocks in possession. Three designs of the component were implemented and compared in terms of their complexity as well as scalability. Designs that utilized 1, 4 and 16 classifiers, respectively, were developed. These designs were implemented using Artificial Neural Networks, Fuzzy Inference Systems as well as Adaptive Neuro-Fuzzy Inference Systems. The design that employed 4 classifiers achieved low complexity and high scalability. As a result, this design is most appropriate for the application of concern.
AB - This paper employs pattern classification methods for assisting investors in making financial decisions. Specifically, the problem entails the categorization of investment recommendations. Based on the forecasted performance of certain indices, the Stock Quantity Selection Component is to recommend to the investor to purchase stocks, hold the current investment position or sell stocks in possession. Three designs of the component were implemented and compared in terms of their complexity as well as scalability. Designs that utilized 1, 4 and 16 classifiers, respectively, were developed. These designs were implemented using Artificial Neural Networks, Fuzzy Inference Systems as well as Adaptive Neuro-Fuzzy Inference Systems. The design that employed 4 classifiers achieved low complexity and high scalability. As a result, this design is most appropriate for the application of concern.
UR - http://www.scopus.com/inward/record.url?scp=33750689487&partnerID=8YFLogxK
U2 - 10.1007/11893295_48
DO - 10.1007/11893295_48
M3 - Conference contribution
AN - SCOPUS:33750689487
SN - 3540464840
SN - 9783540464846
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 430
EP - 439
BT - Neural Information Processing - 13th International Conference, ICONIP 2006, Proceedings
PB - Springer Verlag
T2 - 13th International Conference on Neural Information Processing, ICONIP 2006
Y2 - 3 October 2006 through 6 October 2006
ER -