维普期刊资源整合服务平台（V6.5）

维普中文期刊产品整合服务

9篇 您的检索式：作者名="CHOKKALINGAM M"

选中清除导出查看参考文献查看引证文献引用追踪共1页首页上一页第1页下一页末页 /1 跳转

		题名	作者	年代	出处	被引量
	1	Neural Network Aided Kalman Filtering for Multitarget Tracking Applications显示文摘	V Vaidehi N Chitra M Chokkalingam	2001	Computers and Electrical Engineering (S0045-7906)2001，27，2：	1
	2	Alterations in red blood cell deform- ability during storage: a microfluidic approaeh显示文摘	CLUITMANS J C A CHOKKALINGAM V JANS- SEN A M	2014	Bi- oMed Research International2014，，76：	1
	3	Neural network aided Kalman filtering for multitarget tracking applications 显示文摘	Vaideh V Chitra N Chokkalingam M	2001	Computers and Electrical Engineering2001，27，2：	1
	4	Neural network aided Kalman filter for multi target tracking applications显示文摘	Vaideh V Chitra N Chokkalingam M	2000	Computers and Electrical Engineering2000，27，2：	1
	5	Neural network aided kalman filtering for multitarget tracking applications 显示文摘	Vaidehi V Chitra N Chokkalingam M	2001	Computers and Electrical Engineering2001，27，2：	1
	6	Neural network aided Kalman filter for multitarget trackingapplications 显示文摘	VAIDEH V CHITRAL N CHOKKALINGAM M	2000	Computers and Electiical Engineering2000，27，2：	1
	7	Optimized droplet-based microfluidics scheme for sol-gel reactions显示文摘	Chokkalingam V WeidenbofB Kramer M Maier W F Herminghaus S Seemann R	2010	Lab on a Chip2010，10，：	1
	8	Insulin-like growth factors and prostate cancer: a population-based case-control study in China显示文摘	Chokkalingam AP Pollak M Fillmore CM	2001	Cancer Epidemiol Biomarkers Prey2001，10，5：	1
	9	Influence of Na_(2)SiO_(3)/NaOH Ratio on Calcined Magnesium Silicate Based Geopolymer——Experimental and Predictive Study显示文摘This study aims to investigate the behavior of alkali activated mortar,which is made of naturally available magnesium silicate as source material.For magnesium silicate,ultrafine natural steatite powder(UFNSP)is used as the primary source of binder,and the activation is initiated through the alkali liquid which is proportioned in various combinations of silicate to hydroxide ratio(Na_(2)SiO_(3)/Na OH)ratio,and this ratio in this study varies from 1 to 3.The UFNSP is calcined at two difierent temperatures,700 and 1000℃.The mortar mix is proportioned as 1:3 between powder and the fine aggregate,and the mortar is prepared with hydroxide molarity(M)of 10 M.The mortar is cured for 48 hours at 60℃and the compressive strength was studied.All the mix were studied for its microstructural behavior along with compressive strength.The mix proportion of the mortar,and the results obtained through microstructural characterization were combinedly formed as input for artificial neural network(ANN)predictive modelling.The model is designed to predict the compressive strength,which is trained through Bayesian regularization algorithm with varying hidden neurons of 7 to 10.This experimental and predictive study shows that the strength is influenced by both Na_(2)SiO_(3)/Na OH ratio and calcination process.And the ANN is influenced by mainly calcination temperature and uncorrelation occurs in selected samples of 1000℃calcined UFNSP mix.	Premkumar R Ramesh Babu Chokkalingam Meyyappan PL Shanmugasundaram M	2023	Journal of Wuhan University of Technology(Materials Science)2023，38，5：	0

返回顶部每页显示：

共1页首页上一页第1页下一页末页 /1 跳转

goolge学术搜索-维普

网站首页 | 关于我们 | 联系我们 | 产品服务 | 客服中心 | 广告服务 | 版权声明 | 网站联盟 | 友情链接 | 售卡网点

版权所有© 渝B2-20050021-1　渝公网安备 50019002500403号　违法和不良信息举报中心

互联网出版许可证新出网证(渝)字10号全国400电话 - 免长途话费