Specific Identification of Radar Emitters Based on Manifold Learning Method

2021 ◽  
Author(s):  
Yiwei Hu ◽  
Kunda Wang ◽  
Lin Wang ◽  
Chuanyu Wang
Keyword(s):  
Manifold Learning ◽  
Learning Method ◽  
Specific Identification

scholarly journals Inside Cover: Sparse‐graph manifold learning method for bioluminescence tomography (J. Biophotonics 4/2020)

2020 ◽  
Vol 13 (4) ◽  
Author(s):  
Hongbo Guo ◽  
Ling Gao ◽  
Jingjing Yu ◽  
Xiaowei He ◽  
Hai Wang ◽  
...  
Keyword(s):  
Manifold Learning ◽  
Sparse Graph ◽  
Learning Method ◽  
Bioluminescence Tomography ◽  
Graph Manifold

LTSA Algorithm for Dimension Reduction of Microarray Data

2013 ◽  
Vol 645 ◽  
pp. 192-195 ◽  
Author(s):  
Xiao Zhou Chen
Keyword(s):  
Dimensionality Reduction ◽  
Dimension Reduction ◽  
Manifold Learning ◽  
Microarray Data ◽  
Learning Algorithm ◽  
Medical Applications ◽  
Data Sets ◽  
Learning Method ◽  
Data Dimensionality Reduction ◽  
Low Dimensional

Dimension reduction is an important issue to understand microarray data. In this study, we proposed a efficient approach for dimensionality reduction of microarray data. Our method allows to apply the manifold learning algorithm to analyses dimensionality reduction of microarray data. The intra-/inter-category distances were used as the criteria to quantitatively evaluate the effects of data dimensionality reduction. Colon cancer and leukaemia gene expression datasets are selected for our investigation. When the neighborhood parameter was effectivly set, all the intrinsic dimension numbers of data sets were low. Therefore, manifold learning is used to study microarray data in the low-dimensional projection space. Our results indicate that Manifold learning method possesses better effects than the linear methods in analysis of microarray data, which is suitable for clinical diagnosis and other medical applications.

Research on Status of Loss-of-Coolant Accident of Reactor Based on Manifold Learning

2013 ◽  
Vol 389 ◽  
pp. 776-780
Author(s):  
Jie Liang ◽  
Qi Cai ◽  
Feng Yan ◽  
Yun Fang Zhao
Keyword(s):  
Manifold Learning ◽  
Learning Method ◽  
Model Based ◽  
Loss Of Coolant Accident ◽  
Loss Of Coolant ◽  
Dimension Reducing

In order to improve the diagnosis performance of the types of Loss of Coolant Accident (LOCA), A diagnose model based on manifold Learning is built. As the manifold learning method using to reduce the observed parameters of reactors dimensions, the ANN is used to get dimension reducing mapping and modes classifying method. This method improves the ability of the model to identify as well as the robustness of it. The experiment results show that the systems diagnosis precision is high and the key parameters are analyzed efficiently.

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