DocumentCode
288315
Title
On the relative time complexities of standard and conjugate gradient backpropagation
Author
Stone, James V. ; Lister, Raymond
Author_Institution
Sch. of Cognitive & Comput. Sci., Sussex Univ., Brighton, UK
Volume
1
fYear
1994
fDate
27 Jun-2 Jul 1994
Firstpage
84
Abstract
It is well known that conjugate gradient backpropagation is much faster than standard backpropagation on many given problem instances. However, it has not been established that the conjugate gradient form has a lower time complexity than the standard algorithm. We describe an empirical estimation of the algorithms´ respective time complexities, on N2N encoder problems. The algorithms were found to have near equal median time complexities, approximately O(N4)
Keywords
backpropagation; computational complexity; conjugate gradient methods; neural nets; N2N encoder; conjugate gradient backpropagation; neural nets; relative time complexities; standard backpropagation; Algorithm design and analysis; Backpropagation; Biology computing; Computer science; Equations; Error correction; Optimization methods; Pathology; Polynomials; Size control;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
Conference_Location
Orlando, FL
Print_ISBN
0-7803-1901-X
Type
conf
DOI
10.1109/ICNN.1994.374143
Filename
374143
Link To Document