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ISNN
2005
Springer
13 years 10 months ago
Select the Size of Training Set for Financial Forecasting with Neural Networks
Abstract. The performance of financial forecasting with neural networks dependents on the particular training set. We design mean-change-point test to divide the original dataset i...
Wei Huang, Yoshiteru Nakamori, Shouyang Wang, Hui ...
ESWA
2006
154views more  ESWA 2006»
13 years 4 months ago
Artificial neural networks with evolutionary instance selection for financial forecasting
In this paper, I propose a genetic algorithm (GA) approach to instance selection in artificial neural networks (ANNs) for financial data mining. ANN has preeminent learning abilit...
Kyoung-jae Kim
ICNC
2005
Springer
13 years 10 months ago
The Prediction of the Financial Time Series Based on Correlation Dimension
In this paper we firstly analysis the chaotic characters of three sets of the financial time series (Hang Sheng Index (HIS), Shanghai Stock Index and US gold price) based on the ph...
Chen Feng, Guangrong Ji, Wencang Zhao, Rui Nian
FLAIRS
2004
13 years 6 months ago
A Method Based on RBF-DDA Neural Networks for Improving Novelty Detection in Time Series
Novelty detection in time series is an important problem with application in different domains such as machine failure detection, fraud detection and auditing. An approach to this...
Adriano L. I. Oliveira, Fernando Buarque de Lima N...
FSKD
2005
Springer
180views Fuzzy Logic» more  FSKD 2005»
13 years 10 months ago
An Effective Feature Selection Scheme via Genetic Algorithm Using Mutual Information
Abstract. In the artificial neural networks (ANNs), feature selection is a wellresearched problem, which can improve the network performance and speed up the training of the networ...
Chunkai K. Zhang, Hong Hu