Comparison of Near Neighbour and Neural Network in Travel Forecasting
| Autor: | Elena Olmedo |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
Artificial neural network
Series (mathematics) business.industry Computer science Strategy and Management 05 social sciences Management Science and Operations Research Machine learning computer.software_genre Computer Science Applications Nonlinear system Modeling and Simulation 0502 economics and business 050211 marketing Point (geometry) Artificial intelligence Statistics Probability and Uncertainty business computer 050212 sport leisure & tourism Sign (mathematics) |
| Zdroj: | Journal of Forecasting. 35:217-223 |
| ISSN: | 0277-6693 |
| DOI: | 10.1002/for.2370 |
| Popis: | In this paper we confirm the existence of nonlinear dynamics in a time series of airport arrivals. We subsequently propose alternative non-parametric forecasting techniques to be used in a travel forecasting problem, emphasizing the difference between the reconstruction and learning approach. We compare the results achieved in point prediction versus sign prediction. The reconstruction approach offers better results in sign prediction and the learning approach in point prediction. Copyright © 2015 John Wiley & Sons, Ltd. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Plný text