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	Reagentless near-infrared determination of cholesterol in undiluted human serum using interval partial least square (EI CONFERENCE) 会议论文 OAI收割 2011 International Conference on Smart Materials and Nanotechnology in Engineering, SMNE 2011, September 17, 2011 - September 18, 2011, Wuhan, China Gao H.; Lu Q.; Huang F. 收藏 \| 浏览/下载：31/0 \| 提交时间：2013/03/25 In order to determination of cholesterol in human serum with no reagent using nearinfrared (NIR) spectroscopy. Interval partial least square (iPLS) was proposed as an effective variable selection approach for multivariate calibration. For this purpose an independent sample set was employed to evaluate the prediction ability of the resulting model. The spectrum was split into different interval. Then the informative region of cholesterol (1688-1760nm) in which the PLS model has a low RMSEP with 0.241mmol/L and a high R with 0.975 is selected with 23 intervals. The results indicate that the informative region of cholesterol can be obtained by iPLS and applied to design the simpler reagentless NIR instruments for inexpensive cholesterol measurement in future. (2012) Trans Tech Publications Switzerland.
	The costs prediction of AOD furnace based on improved RBF neural network (EI CONFERENCE) 会议论文 OAI收割 2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China Na T.; Zhang D.-J.; Hui L. 收藏 \| 浏览/下载：18/0 \| 提交时间：2013/03/25 In order to predict the cost a model of cost prediction was set up based on adaptive hierarchical genetic algorithm and RBF neural network. Hierarchical genetic algorithm could optimize the topology and the parameters simultaneously. Compared with simple genetic algorithm it has more efficiency in not only accelerating and stabilizing the parameters training but also determining the structure of the network. Adaptive crossover and mutation probability could accelerate the speed and avoid prematurity. The model was tested by five samples. The results showed that the prediction model has high prediction accuracy which indicated that it was applicable to predict the cost by the model. 2010 IEEE.
	S02 Emission Characteristics and BP Neural Networ Prediction in MSW/Coal Co-Fired Fluidized Beds 期刊论文 OAI收割 JOURNAL OF THERMAL SCIENCE, 2006, 卷号: 15, 期号: 3, 页码: 281,288 Junming WENl1 2; Jianhua YAN1; Dongping ZHANG1 3; Yong CHI1; Mingjiang NI1; Kefa CEN1 收藏 \| 浏览/下载：21/0 \| 提交时间：2013/01/31 municipal solid waste (MSW) SO2 emission fluidized bed BP neural networks prediction model.