Container flow forecasting through neural networks based on metaheuristics
Само за регистроване кориснике
2019
Чланак у часопису (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
In this paper we propose a fuzzy neural network prediction approach based on metaheuristics for container flow forecasting. The approach uses fuzzy if–then rules for selection between two different heuristics for developing neural network architecture, simulated annealing and genetic algorithm, respectively. These non-parametric models are compared with traditional parametric ARIMA technique. Time series composed from monthly container traffic observations for Port of Barcelona are used for model developing and testing. Models are compared based on the most important criteria for performance evaluation and for each of the data sets (total container traffic, loaded, unloaded, transit and empty) the appropriate model is selected.
Кључне речи:
Neural networks / Simulated annealing / Genetic algorithm / ARIMA / Container / ForecastingИзвор:
Operational research, 2019, 21, 965-997Издавач:
- Springer
Финансирање / пројекти:
- Развој нових информационо-комуникационих технологија, коришћењем напредних математичких метода, са применама у медицини, телекомуникацијама, енергетици, заштитити националне баштине и образовању (RS-MESTD-Integrated and Interdisciplinary Research (IIR or III)-44006)
- Управљање критичном инфраструктуром за одрживи развој у поштанском, комуникационом и железничком сектору Републике Србије (RS-MESTD-Technological Development (TD or TR)-36022)
Институција/група
Poljoprivredni fakultetTY - JOUR AU - Milenković, Miloš AU - Milosavljević, Nataša S. AU - Bojović, Nebojša AU - Susana, Vall PY - 2019 UR - http://aspace.agrif.bg.ac.rs/handle/123456789/6829 AB - In this paper we propose a fuzzy neural network prediction approach based on metaheuristics for container flow forecasting. The approach uses fuzzy if–then rules for selection between two different heuristics for developing neural network architecture, simulated annealing and genetic algorithm, respectively. These non-parametric models are compared with traditional parametric ARIMA technique. Time series composed from monthly container traffic observations for Port of Barcelona are used for model developing and testing. Models are compared based on the most important criteria for performance evaluation and for each of the data sets (total container traffic, loaded, unloaded, transit and empty) the appropriate model is selected. PB - Springer T2 - Operational research T1 - Container flow forecasting through neural networks based on metaheuristics EP - 997 SP - 965 VL - 21 DO - 10.1007/s12351-019-00477-1 ER -
@article{ author = "Milenković, Miloš and Milosavljević, Nataša S. and Bojović, Nebojša and Susana, Vall", year = "2019", abstract = "In this paper we propose a fuzzy neural network prediction approach based on metaheuristics for container flow forecasting. The approach uses fuzzy if–then rules for selection between two different heuristics for developing neural network architecture, simulated annealing and genetic algorithm, respectively. These non-parametric models are compared with traditional parametric ARIMA technique. Time series composed from monthly container traffic observations for Port of Barcelona are used for model developing and testing. Models are compared based on the most important criteria for performance evaluation and for each of the data sets (total container traffic, loaded, unloaded, transit and empty) the appropriate model is selected.", publisher = "Springer", journal = "Operational research", title = "Container flow forecasting through neural networks based on metaheuristics", pages = "997-965", volume = "21", doi = "10.1007/s12351-019-00477-1" }
Milenković, M., Milosavljević, N. S., Bojović, N.,& Susana, V.. (2019). Container flow forecasting through neural networks based on metaheuristics. in Operational research Springer., 21, 965-997. https://doi.org/10.1007/s12351-019-00477-1
Milenković M, Milosavljević NS, Bojović N, Susana V. Container flow forecasting through neural networks based on metaheuristics. in Operational research. 2019;21:965-997. doi:10.1007/s12351-019-00477-1 .
Milenković, Miloš, Milosavljević, Nataša S., Bojović, Nebojša, Susana, Vall, "Container flow forecasting through neural networks based on metaheuristics" in Operational research, 21 (2019):965-997, https://doi.org/10.1007/s12351-019-00477-1 . .