DocumentCode
2287570
Title
Solving least squares problems by neural network approach
Author
Zhong, Fan ; Lisheng, Tian
Author_Institution
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
fYear
1994
fDate
13-16 Apr 1994
Firstpage
539
Abstract
In this paper, a neural network approach to least squares (LS) problems is proposed. The linear LS problems are solved by using a class of neural network rather than by other conventional methods (such as SVD, Householder transform, etc.). The theoretical analysis and computer simulations show that the method is efficient and reliable, and it is computationally simple and has a normal structure
Keywords
least squares approximations; mathematics computing; neural nets; optimisation; computer simulations; linear least squares problems; mathematics computing; neural network; parallel computation; Analytical models; Cost function; Equations; Least squares methods; Neural networks; Optimization methods; Reliability theory; Signal processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Speech, Image Processing and Neural Networks, 1994. Proceedings, ISSIPNN '94., 1994 International Symposium on
Print_ISBN
0-7803-1865-X
Type
conf
DOI
10.1109/SIPNN.1994.344855
Filename
344855
Link To Document