Thermal Process Control Using Neural Model and Genetic Algorithm

2019 ◽  
pp. 393-403
Author(s):  
Daniel Honc ◽  
Petr Doležel ◽  
Jan Merta
Keyword(s):  
Genetic Algorithm ◽  
Process Control ◽  
Thermal Process ◽  
Neural Model

Studies on Predicting Distribution of Guava Fruit Fly in Yunnan Province Based on the Genetic Neural Model

2012 ◽  
Vol 459 ◽  
pp. 224-228
Author(s):  
Yuan Ping Ni ◽  
Xiao Fei Liu ◽  
Hui Ye
Keyword(s):  
Neural Network ◽  
Genetic Algorithm ◽  
Yunnan Province ◽  
Back Propagation ◽  
Neural Model ◽  
Fruit Fly ◽  
Back Propagation Neural Network ◽  
Experimental Results ◽  
Parallel Search ◽  
Guava Fruit

Based on discussing the advantages of improving genetic algorithm and analyzing the defects of back propagation neural network, we presented the genetic neural model. The simulating data proved that the genetic neural model was able to realize parallel search and could get faster searching speed during random searching optimizaiton. The model was applied to predicting distribution of guava fruit fly. The experimental results show that the model can predict distribution of the fly which is consistent with the practical distribution. The model is very useful in practice. It is worthwhile to refer the model to predicting similar insects.

Validation of thermal process control for the assurance of food safety

Food Control ◽  
1999 ◽  
Vol 10 (4-5) ◽  
pp. 281-283 ◽  
Author(s):  
Su Leaper ◽  
Philip Richardson
Keyword(s):  
Food Safety ◽  
Process Control ◽  
Thermal Process

scholarly journals Optimization of fuzzy model using genetic algorithm for process control application

2011 ◽  
Vol 348 (7) ◽  
pp. 1717-1737 ◽  
Author(s):  
Rubiyah Yusof ◽  
Ribhan Zafira Abdul Rahman ◽  
Marzuki Khalid ◽  
Mohd Faisal Ibrahim
Keyword(s):  
Genetic Algorithm ◽  
Process Control ◽  
Fuzzy Model ◽  
Control Application
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