Informatica e diritto, XIX Annata, Vol. II, 1993, n. 2, pp. 53-73
Klaus Köhler
Forecasting Economic Time-Series with Neural Networks
Prevedere time-series economiche con le
reti neurali
Relazione al Seminario "The Computer and Vagueness: Fuzzy Logic and
Neural Nets"
(Computer e vaghezza: logica fuzzy e reti neurali), Monaco di Baviera 20
novembre 1992
Sommario: 1. Introduction. 2. General Properties of Neural Networks. 3. Pattern Association in Economic Time-Series Forecasting. 4. Using Backpropagation Networks for Pattern Association. 4.1. Pattern Association with Feedforward Networks. 4.2. Learning in Backpropagation Networks. 5. Difficulties in Forecasting Time Semes. 5.1. General Forecasting Problems. 5.2. The Generalization Problem. 6. How to Find a Backpropagation Net with Optimal Generalization Performance. 6.1. Selecting input and output data. 6.2. Preprocessing and Postprocessing. 6.3. Network Topology. 6.4. Pruning. 6.5. Stopped Training. 6.6. Penalty Terms. 7. Results. 8. Conclusions. References.
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