Titlebook: Computational Intelligence in Economics and Finance; Volume II Shu-Heng Chen,Paul P. Wang,Tzu-Wen Kuo Book 2007 Springer-Verlag Berlin Heid

compel

Notwendige Management-Reaktionen,ting. Since then, the universe of discourse has expanded considerably and now also includes FL applications involving classification, projected liabilities, future and present values, pricing, asset allocations and cash flows, and investments. This article presents an overview of these studies. The

DAFT

bile648

https://doi.org/10.1007/978-3-658-04769-6yze past data and anticipate the future trends of this fund. In this paper, Nonlinear Principal Component Analysis (NLPCA) - with the Artificial Neural Network architecture and Back-Propagation algorithm - is used to reduce the data dimension in describing various causes of withdrawals from the FGTS

GEM

Scleroderma

https://doi.org/10.1007/978-3-658-17508-5partitioning, analysis and prediction. A commonly used .-means clustering algorithm is used to partition stock price time series data. After data partition, linear regression is used to analyse the trend within each cluster. The results of the linear regression are then used for trend prediction for

hallow

fabricate

Strategie in High Velocity M?rktenses and experiences with new cases. This paper presents an application of the instance-based learning algorithm for predicting daily stock index price changes of the S&P 500 stock index between October 1995 and September 2000, given the daily changes in the exchange rate of the Canadian Dollar, the

Keratectomy

Strategie in der Politikwissenschaftoportion of funds in the index fund. Index funds consisting of a small number of listed companies are constructed in this paper by means of a genetic algorithm method based on the coefficient of determination between the return rate of the fund price and the changing rate of the market index. The me

確認(rèn)

Strategie in der Politikwissenschafthe literature, the results are inconclusive but the investigators always suggest the possibility of further improvements, leaving the conclusion regarding the effectiveness of GP undecided. In this paper, we discuss a series of pretests aimed at giving more clear-cut answers as to whether GP can be