TY - JOUR AU - Lénárt, Balázs PY - 2011/01/01 Y2 - 2024/03/28 TI - Automatic identification of ARIMA models with neural network JF - Periodica Polytechnica Transportation Engineering JA - Period. Polytech. Transp. Eng. VL - 39 IS - 1 SE - DO - 10.3311/pp.tr.2011-1.07 UR - https://pp.bme.hu/tr/article/view/1822 SP - 39-42 AB - The paper investigates an artificial intelligence based demand forecasting method. A neural network driven automatic ARIMA model identification is being introduced. The limitations of the current methods are shown and a new identification concept is presented. It is being discussed that the model identification with a neural network is less sensitive to input errors through its intuitive capability, additionally after a certain number of training steps the algorithm is able to identify time series with unknown characteristics. ER -