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In this paper, we investigate the possibility of 2π-periodic continuous function approximation by periodic neural networks. Using the Riemann sum and the quadrature formula, we show the capability of a periodic neural network approximation.
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참고문헌 (9)
참고문헌 신청
E. W. Cheney / 1982 / Introduction to Approximation Theory / Chelsea
G. G. Lorentz / 1986 / Approximaton of Functions / Chelsea
H. N. Mhaskar / 1991 / Approximation by Superposition of a Sig-moidal Function : 1 ~ 26
H. N. Mhaskar / 1995 / Degree of Approximmation by Neural and Translation Networks with a Single Hidden Layer / Adv. in Appl. Math. 16 : 151 ~ 183
I. P. Natanson / 1964 / Constructive Function Theory-Uniform Approximation / Ungar Publ.
G. G. Lorentz / 1986 / Approximaton of Functions / Chelsea
H. N. Mhaskar / 1991 / Approximation by Superposition of a Sig-moidal Function : 1 ~ 26
H. N. Mhaskar / 1995 / Degree of Approximmation by Neural and Translation Networks with a Single Hidden Layer / Adv. in Appl. Math. 16 : 151 ~ 183
I. P. Natanson / 1964 / Constructive Function Theory-Uniform Approximation / Ungar Publ.
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