Results 61 to 70 of about 45,363 (158)

Differential Convolutional Fuzzy Time Series Forecasting

IEEE Transactions on Fuzzy Systems
Fuzzy time series forecasting (FTSF) is a typical forecasting method with wide application. Traditional FTSF is regarded as an expert system which leads to loss of the ability to recognize undefined features. The mentioned is the main reason for poor forecasting with FTSF. To solve the problem, the proposed model Differential Fuzzy Convolutional Neural
Tianxiang Zhan, Yuanpeng He, Yong Deng 0001, Zhen Li 0051   +3 more
openaire   +2 more sources

Prediction of Residual Life of Rolling Bearings Based on Multi-Scale Improved Temporal Convolutional Network (MITCN) Model

Machines
The method based on convolution neural networks (CNNs) has been widely developed and applied to residual life prediction, and many excellent results have been achieved.
Keru Xia, Qi Li, Luyuan Han, Zhaohui Ren, Hengfa Luo   +4 more
doaj   +1 more source

Mellin convolutions of products and ratios

Frontiers in Applied Mathematics and Statistics
Usually, convolution refers to Laplace convolution in the literature, but Mellin convolutions can yield very ueful results. This aspect is illustrated in the coming sections. This study deals with Mellin convolutions of products and ratios.
Arak M. Mathai, Hans J. Haubold
doaj   +1 more source

Network traffic classification method basing on CNN

Tongxin xuebao, 2018
Since the feature selection process will directly affect the accuracy of the traffic classification based on the traditional machine learning method,a traffic classification algorithm based on convolution neural network was tailored.First,the min-max ...
Yong WANG, Huiyi ZHOU, Hao FENG, Miao YE, Wenlong KE   +4 more
doaj   +2 more sources

Indirect Measurement of Tensile Strength of Materials by Grey Prediction Models GMC(1,n) and GM(1,n)

Engineering Proceedings
Grey theory is applied to forecasting, decision-making, and control as this theory is appropriate for predictive analysis. Incomplete information is a primary characteristic of the grey system, necessitating the supplementation of information to ...
Tzu-Li Tien
doaj   +1 more source

On convolution and Fourier series [PDF]

Duke Mathematical Journal, 1967
openaire   +4 more sources

Fourier series with bounded convolution powers [PDF]

Pacific Journal of Mathematics, 1979
openaire   +2 more sources

An Algorithm for the Convolution of Legendre Series

, 2016
An O(N^2) algorithm for the convolution of compactly supported Legendre series is described. The algorithm is derived from the convolution theorem for Legendre polynomials and the recurrence relation satisfied by spherical Bessel functions. Combining with previous work yields an O(N^2) algorithm for the convolution of Chebyshev series.
Hale, N, Townsend, A
openaire   +1 more source

Time Series Forecasting Based on Convolution Transformer

IEICE Transactions on Information and Systems, 2023
WANG, Na, ZHAO, Xianglian
openaire   +1 more source

AMGST: Adaptive multi-graph convolution and spatiotemporal attention network for traffic forecasting. [PDF]

PLoS One
Shi P, Lu Q, Chen J, Lv X, Zhang L, Kuang L, Sun J.   +6 more
europepmc   +1 more source