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	Double inverted pendulum control based on three-loop PID and improved BP neural network (EI CONFERENCE) 会议论文 2011 2nd International Conference on Digital Manufacturing and Automation, ICDMA 2011, August 5, 2011 - August 7, 2011, Zhangjiajie, Hunan, China Sang Y.; Fan Y.; Liu B. 收藏 \| 浏览/下载：28/0 \| 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.
	Application of general regression neural network to vibration trend prediction of rotating machinery 会议论文 Advances in Neural Networks - ISNN 2004. International Symposium on Neural Networks. Proceedings (Lecture Notes in Comput. Sci. Vol.3174)), Advances in Neural Networks - ISNN 2004. International Symposium on Neural Networks. Proceedings, Dalian, China, INSPEC Zhipeng Feng; Fulei Chu; Xigeng Song 收藏 \| 浏览/下载：4/0
	Research on compensation for pressure sensor thermal zero drift based on back propagation neural network implemented by hardware circuits 会议论文作者: Liu, Ye; Zhang, Lu; Shan, Shiyang; Sun, Peipei; Yang, Xinwei 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/12/18 Back propagation neural networks Control circuits Feasible solution Hardware circuits Intelligent pressure sensor Mixed simulation Multisim Neural network application
	A method of aircraft image target recognition based on modified PCA features and SVM (EI CONFERENCE) 会议论文 9th International Conference on Electronic Measurement and Instruments, ICEMI 2009, August 16, 2009 - August 19, 2009, Beijing, China Donghe W.; Xin H.; Wei Z.; Huilong Y. 收藏 \| 浏览/下载：22/0 \| 提交时间：2013/03/25 Automatic target recognition(ATR) is an important task in image application. This paper concentrates on two key subroutines of ATR system: Dimensionality reduction and Classifier. After pretreatment on original features a self-organizing neural network trained with the Hebbian rule is used to extract the principal component features. Then a classifier based on Directed Acyclic Graph Support Vector Machines(DAGSVM) is adopted to recognize more than two types of aircraft targets. The experiment results show the proposed method achieves better subset features and higher recognition rate. 2009 IEEE.
	Face recognition based on pulse coupled neural network 会议论文 Wuhan, China, December 19, 2009 - December 20, 2009 作者: Cao, Jie; Wu, Di 收藏 \| 浏览/下载：0/0 \| 提交时间：2020/11/15 Entropy Neural networks Application prospect Classification accuracy Euclidean distance Feature vectors Human face recognition Input image Pulse coupled neural network
	BP neural network application on surface temperature measurement system based on colorimetry (EI CONFERENCE) 会议论文 3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, July 8, 2007 - July 12, 2007, Chengdu, China Sun Z.-Y.; Cai S.; Qiao Y.-F.; Zhu W. 收藏 \| 浏览/下载：15/0 \| 提交时间：2013/03/25 Measurement of the features of infrared radiation is very important for the precaution and discrimination of missiles and relevant research is worthy in military application. The measurement of target's surface temperature is the foundation of infrared radiation characteristics measurement. The principle and configuration of target's surface temperature measurement system based on colorimetry is introduced the measurement model is deduced and the processes of temperature measurement are presented. Least-square method and back-propagation neural network method are both used to deal with the demarcating data. Compared with the least-square method Back-propagation neural network has more advantages such as high precision good applicability and so on.
	BP neural network technology in quality control 会议论文作者: Chen Chao; Huang Jianlong 收藏 \| 浏览/下载：8/0 \| 提交时间：2019/11/15 quality control neural network application
	Knowledge-Based Artificial Neural Network and the application of it in understanding Remotely-Sensed images 会议论文作者: Wu, CX 收藏 \| 浏览/下载：1/0 \| 提交时间：2019/12/05 knowledge neural network build application Remotely-Sensed images understanding
	The Application of Artificial Neural Network in the Field of Conservation Engineering of Cultural Relics (CPCI-S收录) 会议论文 2011 AASRI CONFERENCE ON INFORMATION TECHNOLOGY AND ECONOMIC DEVELOPMENT (AASRI-ITED 2011), VOL 1 作者: Huang, Wenzheng[1,2] 收藏 \| 浏览/下载：0/0 \| 提交时间：2019/04/15 artificial neural network conservation engineering of cultural relics application
	Tracing Moving Objects in Internet-Based RFID Networks 会议论文 2011 作者: Sheng,Q.Z.; Ranasinghe,D.; YanboWu 收藏 \| 浏览/下载：3/0 \| 提交时间：2020/01/04 radiofrequency identification information retrieval Internet object tracking peer-to-peer computing structured P2P overlay moving object tracing Internet based RFID networks electronic product code large scale traceability enterprise application data access centralized approach IBM theseos approach distributed traceable network Indexing Artificial neural networks Logic gates Biological system modeling Query processing

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