A maximum return of science and products with a minimum expenditure of time and resources is a major goal of mission payload integration. A critical component then, in successful mission payload integration is the acquisition and analysis of experiment requirements from the principal investigator and payload element developer teams. One effort to use artificial intelligence techniques to improve the acquisition and analysis of experiment requirements within the payload integration process is described.


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    Title :

    Use of Artificial Intelligence Techniques to Improve the Multiple Payload Integration Process


    Contributors:
    D. E. Cutts (author) / B. K. Widgren (author)

    Publication date :

    1992


    Size :

    11 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English





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