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兰州理工大学 [23]

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限定条件	专题：兰州理工大学第一署名单位第一作者单位通讯作者单位

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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：31/0 \| 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：26/0 \| 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
	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：8/0 \| 提交时间：2021/10/14 Abrasive wear rate increment gray relational method parameter optimization BP neural network increment prediction
	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
	Characterization of Short-Term Strength Properties of Fiber/Cement-Modified Slurry 期刊论文 ADVANCES IN CIVIL ENGINEERING, 2019, 卷号: 2019 作者: Jiang, Ping; Mao, Tianhao; Li, Na; Jia, Liang; Zhang, Fang 收藏 \| 浏览/下载：0/0 \| 提交时间：2022/03/01
	Research on the Prediction Method of Centrifugal Pump Performance Based on a Double Hidden Layer BP Neural Network 期刊论文 ENERGIES, 2019, 卷号: 12, 期号: 14 作者: Han, Wei; Nan, Lingbo; Su, Min; Chen, Yu; Li, Rennian 收藏 \| 浏览/下载：0/0 \| 提交时间：2019/11/15 centrifugal pump double hidden layer Levenberg-Marquardt algorithm performance prediction
	Research on the prediction method of centrifugal pump performance based on a double hidden layer BP neural network 期刊论文 Energies, 2019, 卷号: 12, 期号: 14 作者: Han, Wei; Nan, Lingbo; Su, Min; Chen, Yu; Li, Rennian 收藏 \| 浏览/下载：13/0 \| 提交时间：2020/11/14 Centrifugal pumps Efficiency Forecasting Learning systems Multilayer neural networks Network layers Predictive analytics Average relative error Back propagation neural networks BP neural network model Hidden layers Hydraulic performance Learning efficiency Marquardt algorithm Performance prediction

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