Detecting Community Structure Based on Optimized Modularity by Genetic Algorithm in Resting-State fMRI | |
Huang, Xing Hao[1]; Song, Yu Qing[2]; Liao, Ding An[3]; Lu, Hu[4] | |
2017 | |
会议名称 | ADVANCES IN NEURAL NETWORKS, PT II |
会议日期 | 2017-01-01 |
关键词 | Resting-state network Community structure Autism |
页码 | 457-464 |
收录类别 | EI ; CPCI-S |
URL标识 | 查看原文 |
WOS记录号 | WOS:000439964300053 |
内容类型 | 会议论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/5352098 |
专题 | 江苏大学 |
作者单位 | 1.[1]Jiangsu Univ, Sch Comp Sci & Commun Engn, Zhenjiang, Peoples R China. 2.[2]Jiangsu Univ, Sch Comp Sci & Commun Engn, Zhenjiang, Peoples R China. 3.[3]Jiangsu Univ, Sch Comp Sci & Commun Engn, Zhenjiang, Peoples R China. 4.ChangZhou Text Garment Inst, Dept Electromech Engn, Changzhou, Peoples R China. 5.[4]Fudan Univ, Sch Comp Sci, Shanghai, Peoples R China. |
推荐引用方式 GB/T 7714 | Huang, Xing Hao[1],Song, Yu Qing[2],Liao, Ding An[3],et al. Detecting Community Structure Based on Optimized Modularity by Genetic Algorithm in Resting-State fMRI[C]. 见:ADVANCES IN NEURAL NETWORKS, PT II. 2017-01-01. |
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