Neural Networks of data inhibiting long memory pattern

Masood A. Badri, Ahmed Al-Mutawa, Amr Murtagy

    Research output: Contribution to journalArticlepeer-review


    We experiment with three neural network models for forecasting to better understand the performance of neural networks for the case when the data exhibits a long memory pattern. To obtain the optimum networks, the effect of network characteristics such as the training parameters, the number of hidden layers, and the testing and training percentages are simulated. The third model, which consists of a combination of individual time series forecasts, provides superior results.

    Original languageEnglish
    Pages (from-to)551-554
    Number of pages4
    JournalComputers and Industrial Engineering
    Issue number3-4
    Publication statusPublished - 1998


    • Back propagation
    • Combination of forecasts
    • Forecasting
    • Neural networks

    ASJC Scopus subject areas

    • General Computer Science
    • General Engineering


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