Utilization efficiency forecasting of moisture content in maize based on particle swarm optimization algorithm and RBF neural network

2010 ◽  
Author(s):  
Yu Xiaofang ◽  
Gao Jvlin ◽  
Song Guodong
Keyword(s):  
Neural Network ◽  
Particle Swarm Optimization ◽  
Moisture Content ◽  
Optimization Algorithm ◽  
Particle Swarm Optimization Algorithm ◽  
Rbf Neural Network ◽  
Particle Swarm ◽  
Utilization Efficiency ◽  
Swarm Optimization

Research and Simulation on RBFNN Optimized by Particle Swarm Algorithm

2013 ◽  
Vol 303-306 ◽  
pp. 1431-1434
Author(s):  
Jin Na Lu ◽  
Yan Ping Bai
Keyword(s):  
Neural Network ◽  
Particle Swarm Optimization ◽  
Test Data ◽  
Optimization Algorithm ◽  
Particle Swarm Optimization Algorithm ◽  
Rbf Neural Network ◽  
Particle Swarm ◽  
Particle Swarm Algorithm ◽  
Optimal Parameters ◽  
Swarm Optimization

RBF neural network with the parameters randomly selected may have unstabilized error. In this paper on this problem we improve the RBFNN by introducing particle swarm optimization algorithm, and use the algorithm of searching optimization process to adjust the three parameters of RBFNN. Through simulating four groups of test data by improved PSO-RBFNN network, we get optimal parameters. The simulation shows that the error of the improved network is smaller.

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