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	An improved hyperspectral classification algorithm based on back-propagation neural networks (EI CONFERENCE) 会议论文 OAI收割 2012 2nd International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2012, June 1, 2012 - June 3, 2012, Nanjing, China 作者: Yu P.; Yu P. 收藏 \| 浏览/下载：38/0 \| 提交时间：2013/03/25 In this paper a new method is proposed to improve the classification performance of hyperspectral images by combining the principal component analysis (PCA) genetic algorithm (GA) and artificial neural networks (ANNs). First some characteristics of the hyperspectral remotely sensed data such as high correlation high redundancy etc. are investigated. Based on the above analysis we propose to use the principal component analysis to capture the main information existing in the hyperspectral images and reduce its dimensionality consequently. Next we use neural networks to classify the reduced hyperspectral data. Since the back-propagation neural network we used is easy to suffer from the local minimum problem we adopt a genetic algorithm to optimize the BP network's weights and the threshold. Experimental results show that the classification accuracy is improved and the time of calculation is reduced as well. 2012 IEEE.
	Microbial functional diversity, metabolic quotient, and invertase activity of a sandy loam soil as affected by long-term application of organic amendment and mineral fertilizer 期刊论文 iSwitch采集 JOURNAL OF SOILS AND SEDIMENTS, 2011, 卷号: 11, 期号: 2, 页码: 271-280 作者: Hu, Junli; Lin, Xiangui; Wang, Junhua; Dai, Jue; Chen, Ruirui 收藏 \| 浏览/下载：42/0 \| 提交时间：2019/10/10 Biolog Eco-microplate Community level physiological profile (CLPP) Principal component analyses (PCA) Redundancy analysis (RDA) Soil basal respiration Soil microbial biomass C
	A Safety Related Analog Input Module Based On Diagnosis And Redundancy 会议论文 OAI收割 2010 8th IEEE International Conference on Control and Automation (ICCA 2010), Xiamen, China, June 9-11, 2010 作者: Yu HZ(于洪洲); Xu AD(徐皑冬); Shi G(石刚) 收藏 \| 浏览/下载：29/0 \| 提交时间：2012/06/06 safety-related AI diagnosis circuit redundancy component SIS IEC61508 SIL
	Design of a fault-tolerant voter for safety related analog inputs 会议论文 OAI收割 2010 3rd International Conference on Advanced Computer Theory and Engineering (ICACTE 2010), Chengdu, China, August 20-22, 2010 作者: Yu HZ(于洪洲); Xu AD(徐皑冬) 收藏 \| 浏览/下载：85/0 \| 提交时间：2012/06/06 voter safety-related AI redundancy component Ioo2D IEC6I 508 fault-tolerant system
	An improved two-dimensional entropy method for star trail tracing in deep sky (EI CONFERENCE) 会议论文 OAI收割 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China 作者: Wang Y.-J.; Yao Z.-J. 收藏 \| 浏览/下载：40/0 \| 提交时间：2013/03/25 The trace of star trail is an important component of deep sky detection. The stars are low contrast targets and their self-rotation will make their brightness change in cycle. Above all the trail trace is vulnerable to the block and disturbance of other stars. Traditional one-dimensional maximum entropy thresholding algorithm is vulnerable to the noise and the calculation of two-dimensional entropy methods is too large and takes too much time. This paper proposes an improved two-dimensional entropy threshold algorithm. We use recursion iteration method to eliminate the redundancy calculation and reduce the size of two-dimensional histogram based on the deep sky stars characteristic such as low contrast fuzziness and the centralized histogram. We also combine our algorithm with the space trail trace model to forecast the star trace. Experiments results show when the star are blocked or they turn dark the method still can well extrapolate the star trace. Our method improves the capability of trailing the ebb and small star and increases the precision of tracing. It is also robust to the noise so there is a good application foreground for the method.