Pregled bibliografske jedinice broj: 190143
Bus tickets sales forecasting using neuro-genetic methods
Bus tickets sales forecasting using neuro-genetic methods // Promet-Traffic-Traffico, 10 (1998), 1-2; 57-68 (podatak o recenziji nije dostupan, članak, znanstveni)
CROSBI ID: 190143 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Bus tickets sales forecasting using neuro-genetic methods
Autori
Gold, Hrvoje ; Kavran, Zvonko ; Štefančić, Gordana
Izvornik
Promet-Traffic-Traffico (0353-5320) 10
(1998), 1-2;
57-68
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
bus ticket; sales
Sažetak
This paper describes the applications of an enhanced neural network and genetic algorithm for bus tickets sales forecasting. The proposed approach has several significant advantages over conventional prediction methods. The major advantage of the approach is that no assumptions need to be made about the underlying function or model, since the neural network is able to extract hidden information from the historical data. Although neural networks represent a promising alternative for forecasting, the problem of network design remains and could impair widespread applications in practice. The genetic algorithm is used to evolve neural network architectures automatically, thus eliminating the pitfalls associated with human engineering approach.
Izvorni jezik
Engleski
Citiraj ovu publikaciju:
Uključenost u ostale bibliografske baze podataka::
- ASFA: Aquatic Science and Fisheries Abstracts
- TRIS
- CGP