Cooling performance analysis and structural parameter optimization of X-type truss array channel based on neural networks and genetic algorithm

2022 ◽  
Vol 186 ◽  
pp. 122452
Author(s):  
Lei Xi ◽  
Liang Xu ◽  
Jianmin Gao ◽  
Zhen Zhao ◽  
Yunlong Li
Keyword(s):  
Genetic Algorithm ◽  
Neural Networks ◽  
Performance Analysis ◽  
Parameter Optimization ◽  
Structural Parameter ◽  
Cooling Performance

Study of the Non-Dominated Sorting Genetic Algorithm for the Optimal Structural Parameter of the Tooth-Arrangement Multi-Fingered Dextrous Hand

2013 ◽  
Vol 756-759 ◽  
pp. 4082-4089
Author(s):  
Zhan Li Li ◽  
Xiang Ting He
Keyword(s):  
Genetic Algorithm ◽  
Parameter Optimization ◽  
Experimental Results ◽  
Structural Parameter ◽  
Multi Objective Optimization ◽  
Nsga Ii ◽  
Pareto Solution ◽  
Multi Objective ◽  
Dextrous Hand

Firstly, the structural parameter optimization of the tooth-arrangement multi-fingered dextrous hand is studied. Secondly, as to the shortcomings that the Pareto solution of multi-objective optimization was distributed unevenly in NSGA-II, a non-dominated sorting genetic algorithm based on immune principle is proposed. Lastly, the structural parameter of the medical tooth-arrangement multi-fingered dextrous hand is optimized using the proposed algorithm. The experimental results show that this algorithm can optimize structural parameter of tooth-arrangement multi-fingered dextrous hand very well.

Hyper-Parameter Optimization by Using the Genetic Algorithm for Upper Limb Activities Recognition Based on Neural Networks

2021 ◽  
Vol 21 (2) ◽  
pp. 1877-1884
Author(s):  
Junjie Zhang ◽  
Guangmin Sun ◽  
Yuge Sun ◽  
Huijing Dou ◽  
Anas Bilal
Keyword(s):  
Genetic Algorithm ◽  
Neural Networks ◽  
Parameter Optimization ◽  
Upper Limb

Research on Optimization of Processing Parameter in Turning Process Based on BP Neural Network and Genetic Algorithm

2011 ◽  
Vol 480-481 ◽  
pp. 1358-1361
Author(s):  
Bao Dong Li ◽  
Xiao Hong Wu
Keyword(s):  
Neural Network ◽  
Experimental Data ◽  
Genetic Algorithm ◽  
Neural Networks ◽  
Global Convergence ◽  
Parameter Optimization ◽  
Process Parameters ◽  
Bp Neural Network ◽  
Turning Process ◽  
Processing Parameter

A method of turning process parameter optimization combining neural networks with genetic algorithm was presented.Taking experimental data as samples,the model between processing parameter and processing function was established based on BP neural networks.Counter to various product objectives,processing parameter is optimized by genetic algorithm.When turning by the optimized process parameters, the error of the objective function <1%. It fully played their function which extensive mapping ability of neural networks and rapid global convergence of genetic algorithm.

Cooling Performance Analysis of Heat Sink

2011 ◽  
Vol 1 (9) ◽  
pp. 65-67
Author(s):  
Pritesh S Patel ◽  
◽  
Prof. Dattatraya G Subhedar ◽  
Prof. Kamlesh V Chauhan
Keyword(s):  
Performance Analysis ◽  
Heat Sink ◽  
Cooling Performance

Machining Parameter Optimization of Bidirectional CFRP Composite Pipe by Genetic Algorithm

2014 ◽  
Vol 56 (9) ◽  
pp. 728-736 ◽  
Author(s):  
Krishnasamy Vijaykumar ◽  
Kavan Panneerselvam ◽  
Abdullah Naveen Sait
Keyword(s):  
Genetic Algorithm ◽  
Parameter Optimization ◽  
Composite Pipe ◽  
Cfrp Composite ◽  
Machining Parameter
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