DocumentCode
1841947
Title
Technique of learning rate initialization for efficient training of MLP: Using for computing of Lyapunov exponents
Author
Savitsky, Yury ; Savitsky, Anton
Author_Institution
Dept. of Electron. Inf. Syst., Brest State Tech. Univ., Brest, Belarus
fYear
2015
fDate
7-9 July 2015
Firstpage
298
Lastpage
301
Abstract
A new approach for the training of multilayer feedforward neural networks is proposed. Simulation results are presented in the problem of the calculation of the largest Lyapunov exponent to demonstrate an efficiency of the method, which solves the problem of the training step choice in multilayer perceptrons.
Keywords
Lyapunov methods; learning (artificial intelligence); multilayer perceptrons; Lyapunov exponent; MLP; learning rate initialization; multilayer feedforward neural network; multilayer perceptron; training step choice; Conferences; Decision support systems; Tin; Training; Lyapunov exponent; backward propagation of errors; chaotic processes; learning rate; multilayer neural networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Information and Digital Technologies (IDT), 2015 International Conference on
Conference_Location
Zilina
Type
conf
DOI
10.1109/DT.2015.7222987
Filename
7222987
Link To Document