Comments on 'neural networks: Forecasting breakthrough or passing fad' by C. Chatfield

International Journal of Forecasting

Volumn 10, Issue 1, 1994, Pages 43-46

  Refenes, A N ^a  

^a LONDON BUSINESS SCHOOL   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 9144267274     PISSN: 01692070     EISSN: None     Source Type: Journal    
DOI: 10.1016/0169-2070(94)90048-5     Document Type: Article

References (18)

1. Non linearities in financial systems
2. Distribution estimation consistent in total variation and in two types of information divergence
3. Neural networks: Forecasting breakthrough or passing fad
4. Approximation by superpositions of a sigmoidal function
5. Large automatic learning. Rule extraction and generalisation
6. Distribution of the estimators for autoregressive time series with a unit root
7. On the approximate realization of continuous mappings by neural networks
8. Neural Networks and the Bias/Variance Dilemma
9. Decision theoretic generalizations of the PAC model for neural network and other learning applications
10. Computer analysis of the future markets
11. Effect of model specification on tests for unit root in microeconomic data
12. Nonlinear modelling of the US$/DM exchange rate
13. Predicting the future and understanding the past: A comparison of approaches
14. Connectionist nonparametric regression: Multilayer feedforward networks can learn arbitrary mappings