机构

• 物理研究所 [1]
• 长春光学精密机械与物... [1]
• 海洋研究所 [1]

采集方式

• OAI收割 [3]

内容类型

• 期刊论文 [2]
• 会议论文 [1]

发表日期

• 2024 [1]
• 2012 [1]
• 2011 [1]

学科主题

筛选

浏览/检索结果: 共3条，第1-3条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Application of artificial neural networks throughout the entire life cycle of coatings: A comprehensive review 期刊论文  OAI收割 PROGRESS IN ORGANIC COATINGS, 2024, 卷号: 189, 页码: 22 作者:  Ning, Zenglei;  Zhao, Xia;  Fan, Liang;  Peng, Zhongbo;  Ma, Fubin   |  收藏  |  浏览/下载：23/0  |  提交时间：2024/06/04 Artificial neural networks  Formulation design  Preparation process  micro defects  Service life   Wire network behavior in superconducting Nb films with diluted triangular arrays of holes 期刊论文  OAI收割 JOURNAL OF PHYSICS-CONDENSED MATTER, 2012, 卷号: 24, 期号: 15 He, SK; Zhang, WJ; Liu, HF; Xue, GM; Li, BH; Xiao, H; Wen, ZC; Han, XF; Zhao, SP; Gu, CZ; Qiu, XG 收藏  |  浏览/下载：32/0  |  提交时间：2013/09/23 MAGNETIC-FIELD  ARTIFICIAL DEFECTS  PHASE-TRANSITIONS  PERIODIC ARRAYS  VORTEX DYNAMICS  REGULAR ARRAY  DOTS  KAGOME  TEMPERATURE  DEPENDENCE   Double inverted pendulum control based on three-loop PID and improved BP neural network (EI CONFERENCE) 会议论文  OAI收割 2011 2nd International Conference on Digital Manufacturing and Automation, ICDMA 2011, August 5, 2011 - August 7, 2011, Zhangjiajie, Hunan, China 作者:  Fan Y. 收藏  |  浏览/下载：46/0  |  提交时间：2013/03/25 To deal with the defects of BP neural networks used in balance control of inverted pendulum  such as longer train time and converging in partial minimum  this article reaLizes the control of double inverted pendulum with improved BP algorithm of artificial neural networks(ANN)  builds up a training model of test simulation and the BP network is 6-10-1 structure. Tansig function is used in hidden layer and PureLin function is used in output layer  LM is used in training algorithm. The training data is acquried by three-loop PID algorithm. The model is learned and trained with Matlab calculating software  and the simuLink simulation experiment results prove that improved BP algorithm for inverted pendulum control has higher precision  better astringency and lower calculation. This algorithm has wide appLication on nonLinear control and robust control field in particular. 2011 IEEE.