Post neural network procedure to determine expected prediction values and their confidence limits

B. Jepson, Alan Collins, A. Evans

    Research output: Contribution to journalArticlepeer-review

    Abstract

    The wider use of artificial neural network (ANN) analysis within some disciplines such as economics, could be considered to be impeded to some degree by the absence of confidence intervals for the resultant predictions from such networks. This paper outlines a post-neural network procedure that may be used to: (a) Determine whether or not the network is producing predictions that are statistically significant (b) Provide a mechanism to determine the confidence limits around the expected predictions of a neural network.
    Original languageEnglish
    Pages (from-to)224-228
    Number of pages5
    JournalNeural Computing & Applications
    Volume1
    Issue number3
    DOIs
    Publication statusPublished - 1993

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