Static, Dynamic, and Hybrid Neural Networks in Forecasting Inflation
暂无分享,去创建一个
[1] B. Kermanshahi,et al. Feedforward versus recurrent neural networks for forecasting monthly japanese yen exchange rates , 1996 .
[2] Saeed Moshiri,et al. Neural Network versus Econometric Models in Forecasting Inflation , 1999 .
[3] Howard B. Demuth,et al. Neutral network toolbox for use with Matlab , 1995 .
[4] Michael I. Jordan. Serial Order: A Parallel Distributed Processing Approach , 1997 .
[5] William Remus,et al. Neural Network Models for Time Series Forecasts , 1996 .
[6] Chung-Ming Kuan,et al. Forecasting exchange rates using feedforward and recurrent neural networks , 1992 .
[7] James D. Keeler,et al. Layered Neural Networks with Gaussian Hidden Units as Universal Approximations , 1990, Neural Computation.
[8] Donald F. Specht,et al. A general regression neural network , 1991, IEEE Trans. Neural Networks.
[9] Jeffrey L. Elman,et al. Finding Structure in Time , 1990, Cogn. Sci..
[10] Efraim Turban,et al. Neural Networks in Finance and Investing: Using Artificial Intelligence to Improve Real-World Performance , 1992 .
[11] Esfandiar Maasoumi,et al. Artificial neural networks for some macroeconomic series: A first report , 1994 .
[12] John Moody,et al. Fast Learning in Networks of Locally-Tuned Processing Units , 1989, Neural Computation.
[13] Kurt Hornik,et al. A Convergence Result for Learning in Recurrent Neural Networks , 1994, Neural Computation.
[14] Philip D. Wasserman,et al. Advanced methods in neural computing , 1993, VNR computer library.
[15] Halbert White,et al. Artificial neural networks: an econometric perspective ∗ , 1994 .
[16] Norman R. Swanson,et al. A Model Selection Approach to Real-Time Macroeconomic Forecasting Using Linear Models and Artificial Neural Networks , 1997, Review of Economics and Statistics.