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科研机构
兰州理工大学 [84]
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会议论文 [49]
期刊论文 [34]
学位论文 [1]
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2022 [6]
2021 [2]
2020 [3]
2019 [5]
2017 [7]
2016 [7]
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专题:兰州理工大学
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Method to predict the interlayer shear strength of asphalt pavement based on improved back propagation neural network
期刊论文
CONSTRUCTION AND BUILDING MATERIALS, 2022, 卷号: 351
作者:
Nian, Tengfei
;
Li, Jinggao
;
Li, Ping
;
Liu, Zongcheng
;
Guo, Rui
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2022/09/22
Road engineering
Asphalt mixture
Interlayer shear strength
BP neural network
Prediction method
Seismic fragility analysis of LRB-isolated bridges considering the uncertainty of regional temperatures using BP neural networks
期刊论文
STRUCTURES, 2022, 卷号: 44, 页码: 566-578
作者:
Shi, Yan
;
Xiong, Lijun
;
Qin, Hongguo
;
Han, Jianping
;
Sun, Zhiguo
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2022/09/22
Isolated bridge
Lead rubber bearings (LRBs)
Regional temperature variation
BP neural network
Seismic fragility
Hot deformation behaviors of AZ91 magnesium alloy: Constitutive equation, ANN-based prediction, processing map and microstructure evolution
期刊论文
Journal of Alloys and Compounds, 2022, 卷号: 908
作者:
Wang, Dongxiao
;
Zhu, Qiangqiang
;
Wei, Zhenxiong
;
Lin, Baosen
;
Jing, Yi
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2022/04/21
Backpropagation
Compression testing
Deformation
Dynamic recrystallization
Hot working
Magnesium alloys
Strain rate
Textures
Arrhenius models
AZ91 magnesium alloys
Back Propagation
Back-propagation artificial neural network
Dynamic recrystallisation
Hot deformation behaviors
Microstructure evolutions
Processing maps
Strain-rates
Texture evolutions
Prediction model of low cycle fatigue life of 304 stainless steel based on genetic algorithm optimized BP neural network
期刊论文
MATERIALS RESEARCH EXPRESS, 2022, 卷号: 9, 期号: 7
作者:
Cao, Mengjie
;
Duan, Hongyan
;
He, Hong
;
Liu, Yang
;
Yue, Shunqiang
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2022/08/09
304 stainless steel
low cycle fatigue
BP neural network
genetic algorithm
life prediction
Dynamic Characteristics and Effect on Thrust of Jet Tail Vortex Ring for Pump Jet Propulsion
期刊论文
FRONTIERS IN ENERGY RESEARCH, 2022, 卷号: 10
作者:
Han, Wei
;
Li, Zhixiong
;
Li, Rennian
;
Feng, Huimin
;
Nan, Lingbo
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2022/07/19
pump jet
wake vortex ring
dynamic characteristics
thrust
neural networks
Structural Damage Identification Method of Girder Bridges Based on Multilevel Data Fusion Theory
期刊论文
Advances in Materials Science and Engineering, 2022, 卷号: 2022
作者:
Xiang, Chang-Sheng
;
Liu, Hai-Long
;
Zhou, Yu
;
Liu, Chen-Yu
;
Wang, Li-Xian
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2022/06/20
Damage detection
Data fusion
Energy dissipation
Neural networks
Strain rate
Structural analysis
Damage localization
Data fusion methods
Data fusion theory
Girder bridges
Modal curvatures
Modal strain energy
Multilevel data
Second level
Structural damage identification methods
Third level
Hybrid Improved Bird Swarm Algorithm with Extreme Learning Machine for Short-Term Power Prediction in Photovoltaic Power Generation System
期刊论文
COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2021, 卷号: 2021
作者:
Wu, Dongchun
;
Kan, Jiarong
;
Lin, Hsiung-Cheng
;
Li, Shaoyong
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2022/03/01
Optimization of milling process parameters and prediction of abrasive wear rate increment based on cutting force experiment
期刊论文
ADVANCES IN MECHANICAL ENGINEERING, 2021, 卷号: 13, 期号: 8
作者:
Li, Fei
;
Liu, Jun
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2021/10/14
Abrasive wear rate increment
gray relational method
parameter optimization
BP neural network
increment prediction
Optimal design of blade in pump as turbine based on multidisciplinary feasible method
期刊论文
SCIENCE PROGRESS, 2020, 卷号: 103, 期号: 4
作者:
Sen-chun, Miao
;
Hong-biao, Zhang
;
Ting-ting, Wang
;
Xiao-hui, Wang
;
Feng-xia, Shi
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2022/03/01
Pump as turbine
optimization
neural network
parameterization
genetic algorithm
multidisciplinary
Damage Assessment of Earthen Sites of the Ming Great Wall in Qinghai Province
期刊论文
Journal on Computing and Cultural Heritage, 2020, 卷号: 13, 期号: 2
作者:
Du, Yumin
;
Chen, Wenwu
;
Cui, Kai
;
Zhang, Jingke
;
Chen, Zhuo
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2020/11/14
Backpropagation
Environmental impact
Learning systems
Neural networks
Support vector machines
Back propagation neural networks
BP neural networks
Damage assessments
Machine learning approaches
Machine learning methods
Qinghai Province
Scientific values
Training and testing
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