DocumentCode
1810867
Title
A new method for density estimation by using forward neural network
Author
Xiongfeng, Feng ; Xianhui, Yang ; Yongmao, Xu
Author_Institution
Dept. of Autom., Tsinghua Univ., Beijing, China
Volume
2
fYear
1999
fDate
36342
Firstpage
1461
Abstract
A new method for estimation of probability density function by using forward neural network is presented for the implementation of statistical process control. A new neural network estimator of continuous form is proposed. Simulation results illustrate the effectiveness of the proposed estimator. The relationship with other methods of estimation of density function is discussed. The proposed method can be extended to solve two-dimensional or multi-dimensional problems
Keywords
estimation theory; feedforward neural nets; probability; statistical process control; forward neural network; probability density estimation; probability density function; statistical process control; Automation; Density functional theory; Distribution functions; Electronic mail; Histograms; Kernel; Neural networks; Probability density function; Probability distribution; Process control;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1999. IJCNN '99. International Joint Conference on
Conference_Location
Washington, DC
ISSN
1098-7576
Print_ISBN
0-7803-5529-6
Type
conf
DOI
10.1109/IJCNN.1999.831181
Filename
831181
Link To Document