A hybrid neural network system for the rainfall estimation using satellite imagery

2005 ◽  
Author(s):  
H. Murao ◽  
I. Nishikawa ◽  
S. Kitamura ◽  
M. Yamada ◽  
Pingping Xie
Keyword(s):  
Neural Network ◽  
Satellite Imagery ◽  
Network System ◽  
Rainfall Estimation ◽  
Hybrid Neural Network ◽  
Neural Network System

Optimum Design of Structures for Earthquake Loading by a Cellular Evolutionary Algorithm and Neural Networks

2012 ◽  
pp. 306-322 ◽  
Author(s):  
Saeed Gholizadeh
Keyword(s):  
Neural Network ◽  
Genetic Algorithm ◽  
Neural Networks ◽  
Optimum Design ◽  
Optimization Algorithm ◽  
Time History ◽  
Network System ◽  
Hybrid Neural Network ◽  
Neural Network System ◽  
Nonlinear Time History

The present chapter deals with optimum design of structures for earthquake induced loads by taking into account nonlinear time history structural response. As the structural seismic optimization is a time consuming and computationally intensive task, in this chapter, a methodology is proposed to reduce the computational burden. The proposed methodology consists of an efficient optimization algorithm and a hybrid neural network system to effectively predict the nonlinear time history responses of structures. The employed optimization algorithm is a modified cellular genetic algorithm which reduces the required generation numbers compared with the standard genetic algorithm. Also, the hybrid neural network system is a combination of probabilistic and generalized regression neural networks. Numerical results demonstrate the computational merits of the proposed methodology for seismic design optimization of structures.

Monitoring near burner slag deposition with a hybrid neural network system

2003 ◽  
Vol 14 (7) ◽  
pp. 1137-1145 ◽  
Author(s):  
C K Tan ◽  
S J Wilcox ◽  
J Ward ◽  
M Lewitt
Keyword(s):  
Neural Network ◽  
Network System ◽  
Hybrid Neural Network ◽  
Neural Network System
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