Title :
Solving least squares problems by neural network approach
Author :
Zhong, Fan ; Lisheng, Tian
Author_Institution :
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
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;
Conference_Titel :
Speech, Image Processing and Neural Networks, 1994. Proceedings, ISSIPNN '94., 1994 International Symposium on
Print_ISBN :
0-7803-1865-X
DOI :
10.1109/SIPNN.1994.344855
