QQ客服 官方微博 反馈留言

	Watermelon Ripeness Detection via Extreme Learning Machine with Kernel Principal Component Analysis Based on Acoustic Signals
	Zhang, Yinghao; Deng, Xiaoyan; Xu, Zhou; Yuan, Peipei
刊名	INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE
	2019
卷号	33期号:8
关键词	Ripeness feature extraction kernel principal component analysis (KPCA) extreme learning machine (ELM)
ISSN号	0218-0014
DOI	10.1142/S0218001419510029
URL标识	查看原文
收录类别	SCIE
语种	英语
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4216152
专题	武汉大学
推荐引用方式 GB/T 7714	Zhang, Yinghao,Deng, Xiaoyan,Xu, Zhou,et al. Watermelon Ripeness Detection via Extreme Learning Machine with Kernel Principal Component Analysis Based on Acoustic Signals[J]. INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE,2019,33(8).
APA	Zhang, Yinghao,Deng, Xiaoyan,Xu, Zhou,&Yuan, Peipei.(2019).Watermelon Ripeness Detection via Extreme Learning Machine with Kernel Principal Component Analysis Based on Acoustic Signals.INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE,33(8).
MLA	Zhang, Yinghao,et al."Watermelon Ripeness Detection via Extreme Learning Machine with Kernel Principal Component Analysis Based on Acoustic Signals".INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE 33.8(2019).

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。