Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Kuei-Fang Chang"'
Publikováno v:
Journal of Inequalities and Applications, Vol 2016, Iss 1, Pp 1-17 (2016)
Abstract Bernstein inequality is an essential inequality for Besov spaces. Smoothness based approaches are widely used in establishing the inequality. Yet, despite numerous studies over the last two decades, there is still little research focusing on
Externí odkaz:
https://doaj.org/article/6dfabd90bb764e6da2014a9a7e95737a
Autor:
Kuei-Fang Chang, 張桂芳
100
In recent years, the global recession is serious. In the meantime, the global luxury goods industry continued to show high growth. The luxury goods were positioned as high prices goods. In the case of the rise of the emerging markets, consum
In recent years, the global recession is serious. In the meantime, the global luxury goods industry continued to show high growth. The luxury goods were positioned as high prices goods. In the case of the rise of the emerging markets, consum
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/65461004959848235677
Publikováno v:
International Journal of Applied Physics and Mathematics. 4:46-50
Abstract—The motivation of this dissertation mainly is which affine frame wavelet systems span Lebesgue spaces have been investigated less. The technique we used is analogous to technique of Calderon-Zygmund operators, but we rely on Calderon-Z
Publikováno v:
International Journal of Applied Physics and Mathematics. 4:9-14
Publikováno v:
ICDIP
We have established a DWT-based secondary self-regression model (AR(2)) to forecast stock value. This method requires the user to decide upon the trend of the stock prices. We later used WNN to forecast stock prices which does not require the user to
Publikováno v:
ICDIP
The stock price prediction by the wavelet neural network is about minimizing RMSE by adjusting the parameters of initial values of network, training data percentage, and the threshold value in order to predict the fluctuation of stock price in two we
Publikováno v:
MATEC Web of Conferences; 2017, Vol. 119, p1-12, 12p
Autor:
Kuei-Fang Chang
Publikováno v:
Journal of Approximation Theory. 87:148-158
We give a complete characterization of the strictly positive definite functions on the real line. By Bochner's theorem, this is equivalent to proving that if the separated sequence of real numbers {an} describes the points of discontinuity of a distr
Publikováno v:
MATEC Web of Conferences, Vol 119, p 01029 (2017)
This research examines the forecasting performance of wavelet neural network (WNN) model using published stock data obtained from Financial Times Stock Exchange (FTSE) Taiwan Stock Exchange (TWSE) 50 index, also known as Taiwan Stock Exchange Capital
Publikováno v:
Taiwanese J. Math. 1, no. 3 (1997), 303-314
We introduce the Wiener space and then consider wavelets which are not necessarily compactly supported but have a decay condition at infinity. Under the Wiener condition, several scaling functions and their dual functions have the same rate of decay
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d83d6c8d7b63cc95d196a43f2d3ac7f
http://projecteuclid.org/euclid.twjm/1500405686
http://projecteuclid.org/euclid.twjm/1500405686