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兰州理工大学 [9]

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限定条件	内容类型：会议论文专题：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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	Fracture design parameters of middle carbon steel in extra-low cycle bend torsion loading 会议论文 Xi'an, Shanxi, China, May 9, 2014 - May 11, 2014 作者: Duan, Hong-Yan; Zhang, Huan-Rong; Zheng, Ming; Wang, Xiao-Hong 收藏 \| 浏览/下载：1/0 \| 提交时间：2020/11/15 Carbon steel Fracture Network architecture Neural networks Extra-low cycle Middle carbon steels Neural network model Number of hidden neurons Performance of systems Prediction techniques Torsion fatigue Trained neural networks
	Application of ANN back-propagation for Fracture Design Parameters of Middle Carbon Steel in Extra-low Cycle Bend Torsion Loading 会议论文作者: Duan, HongYan; Li, YouTang; Sun, ZhiJia; Zhang, YangYang 收藏 \| 浏览/下载：14/0 \| 提交时间：2019/11/15 Artificial Neural Networks Extra-low Cycle Middle Carbon Steel Bend Torsion Fatigue
	Application of ANN back-propagation for fracture design parameters of middle carbon steel in extra-low cycle bend torsion loading 会议论文 Wuhan, China, June 22, 2013 - June 23, 2013 作者: Duan, HongYan; Li, YouTang; Sun, ZhiJia; Zhang, YangYang 收藏 \| 浏览/下载：1/0 \| 提交时间：2020/11/15 Backpropagation Carbon steel Industrial engineering Mechanical engineering Network architecture Neural networks Torsional stress Extra-low cycle Middle carbon steels Neural network model Number of hidden neurons Performance of systems Prediction techniques Torsion fatigue Trained neural networks
	Application of ANN Back-Propagation for An Alloy Reinforced Ceramics/Metal Composite Under Extra-Low Cycle Bending Fatigue Loading 会议论文作者: Rui, Zhi-yuan; Duan, Hong-yan; Lei, Chunli; Wei, Xing-chun 收藏 \| 浏览/下载：7/0 \| 提交时间：2019/11/15 Artificial Neural Networks Ceramic composites Fracture design
	Application of ANN back-propagation for an alloy reinforced ceramics/metal composite under extra-low cycle bending fatigue loading 会议论文 Harbin, China, August 16, 2009 - August 19, 2009 作者: Rui, Zhi-Yuan; Duan, Hong-Yan; Lei, Chunli; Wei, Xing-Chun 收藏 \| 浏览/下载：3/0 \| 提交时间：2020/11/15 Approximation theory Backpropagation Bending (deformation) Ceramic materials Ceramic matrix composites Data flow analysis Design Fracture Powder metallurgy Approximate methods Artificial Neural Network Ceramic composites Cycle time Fracture design Hidden neurons Input parameter Low cycle bending Network training Neural network model Performance of systems Prediction techniques Three-layer Tip radius Trained neural networks Training data
	Application of ANN Back-propagation for Fracture Design Parameters in Extra-low Cycle Rotating Bending Fatigue 会议论文作者: Duan, Hongyan; Li, Youtang; Zhang, Jin; He, Guiping 收藏 \| 浏览/下载：2/0 \| 提交时间：2019/11/15 Artificial Neural Networks Extra-low Cycle Ecomaterial (aluminum alloyed cast iron) Fatigue Fracture design
	Application of ANN back-propagation for fracture design parameters in extra-low cycle rotating bending fatigue 会议论文 Chongqing, China, June 9, 2008 - June 12, 2008 作者: Duan, Hongyan; Li, Youtang; Zhang, Jin; He, Guiping 收藏 \| 浏览/下载：0/0 \| 提交时间：2020/11/15 Aluminum alloys Backpropagation Cast iron Fatigue of materials Fracture Eco-materials Extra-low cycle Fracture design Neural network model Number of hidden neurons Performance of systems Rotating bending fatigue Trained neural networks
	Application of ANN back-propagation for fracture design parameters of medium carbon steel in extra-low cycle axial fatigue loading 会议论文作者: Duan, Hongyan; Li, Youtang; Tan, Shuai 收藏 \| 浏览/下载：7/0 \| 提交时间：2019/11/15 artificial neural networks extra-low cycle medium carbon steel axial fatigue
	Predication of properties of welding joints based on uniform designed neural network 会议论文 Hong Kong, China, October 3, 2006 - October 6, 2006 作者: Shi, Yu; Li, Jianjun; Fan, Ding; Chen, Jianhong 收藏 \| 浏览/下载：0/0 \| 提交时间：2020/11/15 Computer simulation Filler metals Fracture toughness Mathematical models Mechanical properties Neural networks Optimization Tensile strength Neural network technology Neutral network models Welding materials Welding thermal simulation

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