The Design and Implementation of Key Technologies of the Computer Algorithm Dynamic System

Article Preview

Abstract:

This topic mainly aimed at the dynamic simulation of some actual problems. The research is suitable for the dynamic system of modeling artificial model and learning algorithm. First it summarizes the existing network simulation model of dynamic system and network delay unit. All the feedback network and part of the feedback network model, the network topology is given and used for system simulation. The method of simulation learning algorithm and simulation instance. And then established the time-varying input and output process neural networks and network model of two kinds of discrete process neural network for its properties are analyzed and proved that the concrete learning algorithm is deduced. Finally combined with the actual problem, time-varying input and output process neural network is given in the application of system identification.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1174-1177

Citation:

Online since:

November 2014

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] T.Y. Xiao, X.L. Han and L. Zhang, Virtual manufacturing connotation and its application, Journal of System Simulation, 11(3), 2000, 118-123.

Google Scholar

[2] Y.K. Ou and W.F. Liu, Based on the theory of biological neural network framework-neuron model, Beijing Biomedical Engineering, 16(2), 1997, 93-101.

Google Scholar

[3] X.G. He and Y.Z. Liang, Some theory problems of process neural networks, China Engineering Science, 2(12), 2000, 40-44.

Google Scholar

[4] S. Cong and X.P. Gao, Several kinds of recursive neural network and its application in system identification, Systems Engineering and Electronics, 25(2), 2003, 51-53.

Google Scholar