A homotopy recursive algorithm for multilayer feedforward neural network

Author

Dali, Yang ; Zemin, Liu ; Zheng, Zhou

Author_Institution

Dept. of Inf. Eng., Beijing Univ. of Posts & Telecommun., China

fYear

1994

fDate

13-16 Apr 1994

Firstpage

385

Abstract

This paper proposes a homotopy recursive backpropagation (BP) algorithm, which introduces the homotopy continuation method to the multilayer feedforward neural network so as to provide the global convergence and faster convergence speed than conventional BP algorithm for the feedforward neural network

Keywords

backpropagation; convergence of numerical methods; feedforward neural nets; optimisation; global convergence; homotopy recursive algorithm; homotopy recursive backpropagation; multilayer feedforward neural network; optimal convergence; Algorithm design and analysis; Computer errors; Convergence; Feedforward neural networks; Gradient methods; Manifolds; Multi-layer neural network; Neural networks; Nonlinear systems; Telecommunication network topology;

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.1994.344887

Filename

344887

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2288064