scholarly journals A Method Based on Multiple Population Genetic Algorithm to Select Hyper-Parameters of Industrial Intrusion Detection Classifier

2021 ◽  
Vol 30 (3) ◽  
pp. 39-49
Author(s):  
Xuejun LIU ◽  
Hao WANG ◽  
Xiaoni ZHANG ◽  
Haiying LUAN ◽  
Yun SHA ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Intrusion Detection ◽  
Population Genetic ◽  
Multiple Population ◽  
Population Genetic Algorithm

scholarly journals Study on MPGA-BP of Gravity Dam Deformation Prediction

2017 ◽  
Vol 2017 ◽  
pp. 1-13 ◽  
Author(s):  
Xiaoyu Wang ◽  
Kan Yang ◽  
Changsong Shen
Keyword(s):  
Neural Network ◽  
Genetic Algorithm ◽  
Bp Neural Network ◽  
Population Genetic ◽  
Prediction Accuracy ◽  
Gravity Dam ◽  
Hydraulic Structures ◽  
Deformation Prediction ◽  
Multiple Population ◽  
Population Genetic Algorithm

Displacement is an important physical quantity of hydraulic structures deformation monitoring, and its prediction accuracy is the premise of ensuring the safe operation. Most existing metaheuristic methods have three problems: (1) falling into local minimum easily, (2) slowing convergence, and (3) the initial value’s sensitivity. Resolving these three problems and improving the prediction accuracy necessitate the application of genetic algorithm-based backpropagation (GA-BP) neural network and multiple population genetic algorithm (MPGA). A hybrid multiple population genetic algorithm backpropagation (MPGA-BP) neural network algorithm is put forward to optimize deformation prediction from periodic monitoring surveys of hydraulic structures. This hybrid model is employed for analyzing the displacement of a gravity dam in China. The results show the proposed model is superior to an ordinary BP neural network and statistical regression model in the aspect of global search, convergence speed, and prediction accuracy.

Desiccant wheel system modeling improvement using multiple population genetic algorithm training of neural network

2017 ◽  
Vol 35 (14) ◽  
pp. 1663-1674 ◽  
Author(s):  
Yongli Yang ◽  
Hua Cong ◽  
Pengcheng Jiang ◽  
Fuzhou Feng ◽  
Ping Zhang ◽  
...  
Keyword(s):  
Neural Network ◽  
Genetic Algorithm ◽  
Population Genetic ◽  
System Modeling ◽  
Desiccant Wheel ◽  
Multiple Population ◽  
Population Genetic Algorithm
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