The authors discuss the applicability of multi-layer Neural Networks (NN) to automatic target classification in the challenging environment of Acquisition-Tracking-Pointing (ATP) systems. The merits of NN are discussed in the context of a limited training data base, which is characteristic of practical ATP situations. A computational method is reviewed which allows the quantification of large-scale NN performance for the important small-sample case. In addition; Perceptron learning for the classification of target stochastic images governed by the Poisson distribution is examined with the aid of computer simulations.


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    Title :

    Application on artificial neural networks to ATP functions


    Additional title:

    Anwendung von neuronalen Netzen bei der Durchführung von ATP-Funktionen (Zielerkennung und -verfolgung)


    Contributors:
    Elbaum, M. (author)


    Publication date :

    1992


    Size :

    24 Seiten, 6 Bilder, 16 Quellen




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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