Orlicz空间中的单隐层神经网络逼近
Orlicz공간중적단은층신경망락핍근
ON APPROXIMATION BY NEURAL NETWORKS WITH SINGLE HIDDEN LAYER IN ORLICZ SPACES
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    内蒙古大学艺术学院学报 내몽고대학예술학원학보
    JOURNAL OF ART COLLEGE OF INNER MONGOLIA UNIVERSITY
    2012年 4期 260-265 ,共6页

    王晓丽%吴嘎日迪%郝立宇%霍冉

    왕효려%오알일적%학립우%곽염

    单隐层神经网络%最佳多项式逼近%稠密%Orlicz空间 單隱層神經網絡%最佳多項式逼近%稠密%Orlicz空間
    단은층신경망락%최가다항식핍근%주밀%Orlicz공간
    Neural networks with single hidden layer%best polynomial approximation%denseness%Orlicz spaces
    本文研究了Orlicz空间中的单隐层神经网络逼近问题，以单隐层神经网络为工具，借助最佳多项式逼近，以构造性的方法研究了单隐层神经网络对Orlicz空间内函数的逼近问题以及稠密性问题．
    본문연구료Orlicz공간중적단은층신경망락핍근문제，이단은층신경망락위공구，차조최가다항식핍근，이구조성적방법연구료단은층신경망락대Orlicz공간내함수적핍근문제이급주밀성문제．
    This paper discussed the problem of approximation for neural networks with single hidden Layer. By neural networks with single hidden Layer and the best polynomial approximation, using structive approach, this paper studied approximation problem in Orlicz space and density problem.
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