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Optimal Design of Traction Gear Modification of High-Speed EMU Based on Radial Basis Function Neural Network

Zhaoping Tang, Manyu Wang, Yutao Hu, Ziyuan Mei, Jianping Sun, Li Yan
2020 IEEE Access  
INDEX TERMS Traction gear of EMU, RBF neural network, multi-island genetic algorithm, optimal design of modification.  ...  Combining the methods of theoretical analysis, numerical simulation, and optimization design theory, establishing a parameterized gear modification model.  ...  The multi-island genetic algorithm [19] is used to optimize the solution of the RBF neural network modification parameter noise prediction model.  ... 
doi:10.1109/access.2020.3007449 fatcat:pii7hrn6fndebbs7irgipgh6me

Preform optimization for reduction of forging force using a combination of neural network and genetic algorithm

M Sedighi, M Hadi
2010 Proceedings of the Institution of mechanical engineers. Part B, journal of engineering manufacture  
In this essay, a combination of neural network and genetic algorithm has been studied for optimization of the preform in close die forging.  ...  The simulation results have used in the neural network and the genetic algorithm has been employed to optimize the forging force. The neural network was used in three stages for modeling the system.  ...  Lee [5] modeled various forms of preform by electrical field theory method and optimized it by neural network.  ... 
doi:10.1243/09544054jem1798 fatcat:qbziiz3lyze43g5a44xf4h2nlu

Using particle swarm optimization (PSO) to perform financial characteristic study for enterprises in Taiwan

Jui-Ching Huang
2011 African Journal of Business Management  
clustering analysis and parameter utilization of optimized neural network by the researchers.  ...  , Genetic Algorithm Optimized Grey Model Neural Network and general Grey Model Neural Network are used, respectively to set up Enterprise Financial Distress model and Enterprise Financial Characteristic  ...  In addition, PSO Grey Model Neural Network, Genetic Algorithm Grey Model Neural Network and general Grey Model Neural Network are used to perform the construction of FDP model and FCP model.  ... 
doi:10.5897/ajbm11.1183 fatcat:t4nbbkivqbeovbyuwbd3uxgmza

Prediction of Excavation and Settlement of Shallow-buried Tunnel Based on Radial Basis Function Neural Network of Human Brain

Xiaoping Cao
2018 NeuroQuantology  
A genetic algorithm is introduced to eliminate the slow convergence speed and local optimum of RBFNN.  ...  Artificial neural network technology is to simulate the neural network structure of the human brain so as to solve the nonlinear engineering problem information processing system by establishing artificial  ...  Acknowledgments The project was Rolls Supported by Program for Changjiang Scholars and Innovative Research Team in University (IRT_15R29) and by the National Natural Science Foundation of China (No. 41562013  ... 
doi:10.14704/nq.2018.16.6.1565 fatcat:o5jqdr5jrngg3m6zppnv5z4cw4

Recent Advances in Intelligent-Based Structural Health Monitoring of Civil Structures

Satyam Paul, Raheleh Jafari
2018 Advances in Science, Technology and Engineering Systems  
The importance and utilization of various intelligent tools to be mention as the concept of fuzzy logic, the technique of genetic algorithm, the methodology of neural network techniques, as well as the  ...  In this critical survey, a thorough analysis of various intelligent techniques is carried out considering the cases involved in civil structures.  ...  An innovative filter design on the basis of combined neural and genetic algorithm concept for the improvisation health monitoring technique was proposed by [27] .  ... 
doi:10.25046/aj030540 fatcat:efsc2pnbw5hifdqfpnq3xiamvy

Inversion method of in-situ stress and rock damage characteristics in dam site using neural network and numerical simulation- A case study

Gan Li, Yu Hu, Qing-bin Li, Yin Tao, Jian-xin Miao, Mengdi Yao
2020 IEEE Access  
The genetic algorithm-BP artificial neural networks (G-P) method is trained by the measured in-situ stress data.  ...  Based on the field measurement data, neural network algorithm and numerical simulation technology, the three-dimensional in-situ stress field distribution characteristics of the project area are carried  ...  They would also like to thank builders of xiluodu project and China Three Gorges Corporation.  ... 
doi:10.1109/access.2020.2979024 fatcat:ywumhholtvgj3g6eleg3dmpume

Hysteresis Curve Fitting Optimization of Magnetic Controlled Shape Memory Alloy Actuator

Fuquan Tu, Shengmou Hu, Yuhang Zhuang, Jie Lv, Yunxue Wang, Zhe Sun
2016 Actuators  
neural network and BP artificial neural network based on genetic algorithm.  ...  Moreover, the basic principle of BP artificial neural network based on a genetic algorithm [21,22] is as follows: through the selection, crossover and mutation operation of genetic algorithms, optimize  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/act5040025 fatcat:25mc4q4vtzbkpicljrvw5u5ydq

Research on the Robot Wrist Sensor Dynamic Characteristics Based on Improved Genetic Wavelet Neural Networks

A-long YU, Jin-qiao DAI, Hua-jun SUN
2017 DEStech Transactions on Computer Science and Engineering  
the dynamic model and dynamic compensation are optimized by the improved genetic algorithm.  ...  The dynamic model and dynamic compensation model of the robot wrist force sensor are set up according to data of the dynamic calibration, where the structure and parameters of wavelet neural networks of  ...  Acknowledgment The research work was supported by Scientific Research Significant Projects of Universities and Colleges in Jiangsu Province No16KJA460003  ... 
doi:10.12783/dtcse/cece2017/14373 fatcat:zpk3cis2nbecloynskftfm4mim

Fault Diagnosis of Submersible Motor on Offshore Platform Based on Multi-Signal Fusion

Yahui Zhang, Kai Yang
2022 Energies  
The genetic algorithm was used to optimize the parameters of the neural network model to improve the accuracy of motor fault pattern recognition.  ...  It further combined the neural network to realize the automatic monitoring and intelligent diagnosis of submersible motors, which has certain application value and inspiration in the field of electrical  ...  Acknowledgments: The authors would like to thank reviewers and editors for their valuable suggestions to refine this work. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/en15030756 fatcat:oep5j7vbx5dbphwmwg6fphaa24

Box Girder Optimization by Orthogonal Experiment Design and GA-BP Algorithm in the Gondola Car Body

Wenfei Liu, Yuming Wang, Tianyou Wang
2021 Processes  
Then, the bolster beam is optimized by the GA-BP algorithm, and the new gondola car body model is established with the optimized parameters.  ...  In order to solve disadvantage of the traditional box girder optimization method, which mainly depends on design experience, the combined method of orthogonal experimental design and the genetic algorithm-back  ...  Cui [12] optimized the welding sequence of the box girder by the genetic algorithm, and its goal is to achieve reduced welding deformation.  ... 
doi:10.3390/pr10010074 fatcat:lbnuvpxhhjczdgacnloerrnwpu

Artificial Intelligence in Civil Engineering

Pengzhen Lu, Shengyong Chen, Yujun Zheng
2012 Mathematical Problems in Engineering  
This paper summarizes recently developed methods and theories in the developing direction for applications of artificial intelligence in civil engineering, including evolutionary computation, neural networks  ...  Traditional methods for modeling and optimizing complex structure systems require huge amounts of computing resources, and artificial-intelligence-based solutions can often provide valuable alternatives  ...  for the bridge project to the genetic algorithm, neural network, expert system technology as the basis for combining automated design and optimization of structural design of the system.  ... 
doi:10.1155/2012/145974 fatcat:asd3grpoabf5xn6tdpctxkxtwy

Woodworking Tool Wear Condition Monitoring during Milling Based on Power Signals and a Particle Swarm Optimization-Back Propagation Neural Network

Weihang Dong, Xianqing Xiong, Ying Ma, Xinyi Yue
2021 Applied Sciences  
(PSO)-back propagation (BP) neural network algorithm.  ...  The PSO-BP neural network algorithm was used to establish the monitoring model of the woodworking tool wear condition.  ...  Acknowledgments: This research was supported by the College of Furnishings and Industrial Design of Nanjing Forestry University. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/app11199026 fatcat:muz6sf4yxzgezchqds32fa3ujq

A Product Styling Design Evaluation Method Based on Multilayer Perceptron Genetic Algorithm Neural Network Algorithm

Jie Wu, Huihua Chen
2021 Computational Intelligence and Neuroscience  
the product modeling solution satisfied by the target users; using the multilayer perceptron genetic algorithm neural network method to evaluate the product modeling items.  ...  This paper brings machine learning algorithms to the discipline of industrial design and proposes a method to evaluate the design of product shapes using a multilayer perceptron genetic algorithm neural  ...  Acknowledgments is work in this article was supported by School of Anyang Institute of Technology.  ... 
doi:10.1155/2021/2861292 pmid:34899889 pmcid:PMC8660190 fatcat:go3tmfizbvfg7o4tpdebeo42vq

A survey of research progress and hot front of natural gas load forecasting from technical perspective

Huibin Zeng, Bilin Shao, Genqing Bian, Dan Song, Xiaojun Li
2020 IEEE Access  
As an important part of natural gas industry planning, load forecasting plays a vital role in the optimal dispatching and operation of the natural gas network.  ...  method and combination prediction method, which are also the direction of development in the future.  ...  ACKNOWLEDGEMENT This work was supported by The National Natural Science Foundation of China(No. 62072363). The authors are grateful for the help in writing this article by Yu Zhao and Hongbin Dai.  ... 
doi:10.1109/access.2020.3044052 fatcat:635dluiv5rg3dgyo3fvdqyyxzq

Structural Optimization of Jet Fish Pump Design Based on a Multi-Objective Genetic Algorithm

Maosen Xu, Guorui Zeng, Dazhuan Wu, Jiegang Mou, Jianfang Zhao, Shuihua Zheng, Bin Huang, Yun Ren
2022 Energies  
According to this mapping, an NSGA-II multi-objective genetic algorithm was used to optimize the structure of jet fish pumps.  ...  To solve this problem, the present paper established a complex mapping between flow phenomena and structural parameters, based on computational fluid dynamics and a back-propagation neural network.  ...  Analysis of Internal Flow Field before and after Optimization The internal flow field with a high fitness value was numerically simulated.  ... 
doi:10.3390/en15114104 fatcat:eohxohpqfzd2lh5fvp5yuwzeoq
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