Forecasting Financial Time Series using Neural Network and Fuzzy System-based Techniques

By Vassilis S. Kodogiannis, A. Lolis. 2002

156 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Management Science and Operations Research

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Trung-Quôc Le
2. Satish T. S. Bukkapatnam
3. O. Beyca
4. Akkarapol Sa-ngasoongsong
5. Changqing Cheng
6. Hui Yang
7. Zhenyu James Kong

In Management Science and Operations Research

1. Trung-Quôc Le
2. Satish T. S. Bukkapatnam
3. O. Beyca
4. Akkarapol Sa-ngasoongsong
5. Changqing Cheng
6. Hui Yang
7. Zhenyu James Kong

Citations in the corpus

• Time series forecasting for nonlinear and non-stationary processes: a review and comparative study (2015, methodology): “Ensemble (Zhang and Berardi, 2001; Lai et al., 2006) or hybrid NN models (Kodogiannis and Lolis, 2002; Zhou et al., 2004), such as wavelet NN models, have also been attempted for nonlinear time series forecasting.”