References

Azzini, A. and A.G.B. Tettamanzi, 2008. Evolving neural networks for static single-position automated trading. J. Artificial Evol. Appl., 2008: 1-17.
CrossRef  |  Direct Link  |  

Briza, A.C. and P.C. Naval, 2008. Design of stock trading system for historical market data using multiobjective particle swarm optimization of technical indicators. Proceedings of the GECCO Conference Companion on Genetic and Evolutionary Computation, July 12-16, Atlanta, GA., USA., pp: 1871-1878.

Fan, Y., S.J. Ying, B.H. Wang and Y.M. Wei, 2009. The effect of investor psychology on the complexity of stock market: An analysis based on cellular automaton model. Comput. Ind. Eng., 56: 63-69.
CrossRef  |  Direct Link  |  

Huang, K.Y., J. Chuen-Jiuan and T. Chang, 2008. A RS model for stock market forecasting and portfolio selection allied with weight clustering and Grey System theories. Proceedings of the Evolutionary Computation CEC 2008 IEEE World Congress on Computational Intelligence, June 1-6, Hong Kong, pp: 1240-1246.

Quek, C., K.C. Yow, P.Y.K. Cheng and C.C. Tan, 2009. Investment portfolio balancing: Application of a generic self-organizing fuzzy neural network (GenSoFNN). Intel. Syst. Account. Finance Manage., 16: 147-164.
CrossRef  |  Direct Link  |  

Son, I.S., K.J. Oh, T.Y. Kim and D.H. Kim, 2009. An early warning system for global institutional investors at emerging stock markets based on machine learning forecasting. Expert Syst. Appl., 36: 4951-4957.
CrossRef  |  Direct Link  |  

Trinkle, B.S., 2005. Forecasting annual excess stock returns via an adaptive network-based fuzzy inference system. Intel. Syst. Account. Finance Manage., 13: 165-177.
CrossRef  |  Direct Link  |  

Tsang, P.M., P. Kwok, S.O. Choy, R. Kwan and S. Ng et al., 2007. Design and implementation of NN5 for Hong Kong stock price forecasting. Eng. Appl. Artif. Intell., 20: 453-461.
Direct Link  |