In this paper, a neural network approach to least squares (LS) problems is proposed. The linear LS problems are solved by using a class of neural network rather than by other conventional methods (such as SVD, Householder transform, etc.). The theoretical analysis and computer simulations show that the method is efficient and reliable, and it is computationally simple and has a normal structure.<>


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    Title :

    Solving least squares problems by neural network approach


    Contributors:
    Fan Zhong (author) / Tian Lisheng (author)


    Publication date :

    1994-01-01


    Size :

    164837 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English