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科研机构
兰州理工大学 [32]
内容类型
会议论文 [19]
期刊论文 [13]
发表日期
2022 [2]
2020 [6]
2019 [3]
2017 [1]
2015 [1]
2014 [1]
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专题:兰州理工大学
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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:26/0
  |  
提交时间:2022/09/22
Isolated bridge
Lead rubber bearings (LRBs)
Regional temperature variation
BP neural network
Seismic fragility
基于集成学习的电动汽车充电站超短期负荷预测
期刊论文
上海交通大学学报, 2022, 页码: 1-10
作者:
李恒杰
;
朱江皓
;
傅晓飞
;
方陈
;
梁达明
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2022/07/19
电动汽车充电站
充电负荷
超短期预测
集成学习
经济性
Research on equipment fault prediction expert system based on big data dimension reduction
会议论文
Jinan, Virtual, China, June 19, 2020 - June 21, 2020
作者:
Zhu, Ningning
;
Song, Bin
;
Lu, Yan
;
Li, Yingtang
;
Zhu, Zhongzheng
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2020/12/18
Backpropagation
Big data
Crude oil
Dimensionality reduction
Expert systems
Fluid catalytic cracking
Forecasting
Fuzzy inference
Fuzzy logic
Fuzzy neural networks
Heavy oil production
Nonlinear control systems
Pattern recognition systemsData dimension reduction
Dimension reduction
Error back propagation
Heavy oil catalytic cracking
Inspection and maintenance
Petrochemical enterprise
Physical information
Prediction accuracy
A recognition method for extreme bradycardia by arterial blood pressure signal modeling with curve fitting
期刊论文
Physiological Measurement, 2020, 卷号: 41, 期号: 7
作者:
Chou, Yongxin
;
Zhang, Aihua
;
Gu, Jason
;
Liu, Jicheng
;
Gu, Ya
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2022/02/18
Backpropagation
Blood
Blood pressure
Computational complexity
Curve fitting
Neural networks
Signal detection
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:12/0
  |  
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
Analysis of long-term performance and snowmelt capacity of anti-freezing asphalt pavement
期刊论文
Advances in Civil Engineering Materials, 2020, 卷号: 9, 期号: 1, 页码: 683-710
作者:
Wu, Shujuan
;
Zheng, Mulian
;
Liu, Qing
;
Zhou, Wen
;
Li, Yifeng
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2022/02/17
Asphalt pavements
Backpropagation
Dissolution
Fillers
Freezing
Melting
Mixtures
Neural networks
Snow
Stability
Temperature
Tensile strain
Tensile strength
Back propagation neural networks
High temperature stability
Long term performance
Low temperature crack resistances
Regression coefficient
Soaking temperature
Stone matrix asphalt
Tensile strength ratios
Centrifugal pump impeller and volute shape optimization via combined NUMECA, genetic algorithm, and back propagation neural network
会议论文
作者:
Han, Xiangdong
;
Kang, Yong
;
Sheng, Jianping
;
Hu, Yi
;
Zhao, Weiguo
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2020/12/18
Backpropagation
Centrifugal pumps
Computational fluid dynamics
Curve fitting
Energy dissipation
Flow rate
Genetic algorithms
Impellers
Neural networks
Torsional stressBack-propagation neural networks
Centrifugal pump impellers
Efficiency increase
Flow rate conditions
Hydraulic performance
NUMECA-GA-BPNN
Optimization method
Post optimization
Centrifugal pump impeller and volute shape optimization via combined NUMECA, genetic algorithm, and back propagation neural network
期刊论文
Structural and Multidisciplinary Optimization, 2020, 卷号: 61, 期号: 1, 页码: 381-409
作者:
Han, Xiangdong
;
Kang, Yong
;
Sheng, Jianping
;
Hu, Yi
;
Zhao, Weiguo
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2020/11/14
Backpropagation
Centrifugal pumps
Computational fluid dynamics
Curve fitting
Energy dissipation
Flow rate
Genetic algorithms
Impellers
Neural networks
Torsional stress
Back-propagation neural networks
Centrifugal pump impellers
Efficiency increase
Flow rate conditions
Hydraulic performance
NUMECA-GA-BPNN
Optimization method
Post optimization
Fine-Grained Vehicle Classification With Channel Max Pooling Modified CNNs
期刊论文
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2019, 卷号: 68, 期号: 4, 页码: 3224-3233
作者:
Ma, Zhanyu
;
Chang, Dongliang
;
Xie, Jiyang
;
Ding, Yifeng
;
Wen, Shaoguo
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/11/15
Fine-grained
vehicle classification
convolutional neural network
channel pooling
feature extraction
Fine-Grained Vehicle Classification with Channel Max Pooling Modified CNNs
期刊论文
IEEE Transactions on Vehicular Technology, 2019, 卷号: 68, 期号: 4, 页码: 3224-3233
作者:
Ma, Zhanyu
;
Chang, Dongliang
;
Xie, Jiyang
;
Ding, Yifeng
;
Wen, Shaoguo
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2020/11/14
Backpropagation algorithms
Convolution
Feature extraction
Motivation
Neural networks
Vehicles
channel pooling
Classification accuracy
Competitive performance
Convolutional neural network
Discriminative features
Fine grained
State-of-the-art methods
Vehicle classification
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