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您的检索式：作者名="Luo Chengfeng"
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| 1 | Cystatin C Induces Insulin Resistance in Hippocampal Neurons and Promotes Cognitive Dysfunction in Rodents显示文摘Dear Editor,Cognitive impairment is a hallmark of neurodegenerative disorders such as Alzheimer’s disease(AD)and Parkinson’s disease.Growing evidence has demonstrated that cognitive impairment is closely associated with | Lan Luo Jinyu Ma Yue Li Zongkang Hu Chengfeng Jiang Hao Cai Cheng Sun | 2018 | Neuroscience Bulletin2018，34，3： | 8 |
| 2 | Classification of CBERS-2 Imagery with Fuzzy ARTMAP Classifier显示文摘A fuzzy ARTMAP classifier is adopted for a classification experiment of CBERS-2 imagery. The fundamental theory and processing about the algorithm are first introduced, followed with a land-use classification experiment in Shihezi County on CBERS-2 high resolution imagery. Three classifiers are compared: maximum likelihood classifier (MLC), error back propagation (BP) classifier, and fuzzy ARTMAP classifier. The comparison shows comparably better results for the fuzzy ARTMAP classifier, with overall classification accuracy of 9.9% and 4.6% higher than that of MLC and BP. The results also prove that the fuzzy ARTMAP classifier has better discernment in identifying bare soil on CBERS-2 imagery. | LUO Chengfeng LIU Zhengjun YAN Qin | 2007 | Geo-Spatial Information Science2007，10，2： | 3 |
| 3 | Integrating genetic algorithm method with neural network for land use classification using SZ-3 CMODIS data显示文摘This paper presents a methodology on land use mapping using CMODIS (Chinese Moderate Resolution Imaging Spectroradiometer ) data on-board SZ-3 (Shenzhou 3) spacecraft. The integrated method is composed of genetic algorithm (GA) for feature extraction and neural network classifier for land use classification. In the data preprocessing, a moment matching method was adopted to reuse classification was obtained. To generate a land use map, the three layers back propagation neural network classifier is used for training the samples and classification. Compared with the Maximum Likelihood classification algorithm, the results show that the accuracy of land use classification is obviously improved by using our proposed method, the selected band number in the classification process is reduced,and the computational performance for training and classification is improved. The result also shows that the CMODIS data can be effectively used for land use/land cover classification and change monitoring at regional and global scale. | WANG Changyao LUO Chengfeng LIU Zhengjun | 2005 | Progress in Natural Science:Materials International2005，15，10： | 1 |
| 4 | Determination ofpuerarin in rat plasma by rapid resolution liquid chromatogr- aphy tandem mass spectrometry in positive ionization mode显示文摘 | Luo Chengfeng Yuan Mu Chert Minsheng | 2011 | Journal of Chromatography B2011，，879： | 1 |
| 5 | Characteristic Class of Isotopy for Surfaces显示文摘It is an important problem in topology to verify whether two embeddings are isotopic.This work proposes an algorithm for computing Haefliger-Wu invariants for isotopy based on algebraic topological methods.Given a simplicial complex embedded in the Euclidean space,the deleted product of it is the direct product with diagonal removed.The Gauss map transforms the deleted product to the unit sphere.The pull-back of the generator of the cohomology group of the sphere defines characteristic class of the isotopy of the embedding.By using Mayer Vietoris sequence and Ku¨nneth theorem,the computational algorithm can be greatly simplified.The authors prove the ranks of homology groups of the deleted product of a closed surface and give explicit construction of the generators of the homology groups of the deleted product.Numerical experimental results show the efficiency and efficacy of the proposed method. | REN Yuxue WEN Chengfeng ZHEN Shengxian LEI Na LUO Feng GU David Xianfeng | 2020 | Journal of Systems Science & Complexity2020，33，6： | 0 |
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