首页> 外文OA文献 >Abnormal Quality Pattern Recognition of Industrial Process Based on Multi-Support Vector Machine

【2h】

Abnormal Quality Pattern Recognition of Industrial Process Based on Multi-Support Vector Machine

机译：基于多支撑向量机的工业过程异常质量模式识别

代理获取

本网站仅为用户提供外文OA文献查询和代理获取服务，本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文，但由于OA文献来源多样且变更频繁，仍可能出现获取不到、文献不完整或与标题不符等情况，如果获取不到我们将提供退款服务。请知悉。

页面导航

著录项
引文网络
相似文献
相关主题

著录项

作者
Fengwei Guan; Lianglun Cheng;
展开▼
作者单位

展开▼
年度 2018
总页数
原文格式 PDF
正文语种
中图分类

相似文献

外文文献
中文文献
专利

1. Abnormal Quality Pattern Recognition of Industrial Process Based on Multi-Support Vector Machine [J] . Fengwei Guan, Lianglun Cheng Journal of software . 2018,第9期

机译：基于多支持向量机的工业过程异常质量模式识别
2. Differential diagnosis of pancreatic cancer from normal tissue with digital imaging processing and pattern recognition based on a support vector machine of EUS images. [J] . Zhang MM, Yang H, Jin ZD, Gastrointestinal Endoscopy . 2010,第5期

机译：基于EUS图像的支持向量机的数字成像处理和模式识别与正常组织的胰腺癌鉴别诊断。
3. Recognition of multiple partial discharge patterns by multi-class support vector machine using fractal image processing technique [J] . Vigneshwaran Basharan, Willjuice Iruthayarajan Maria Siluvairaj, Maheswari Ramasamy Velayutham Science, Measurement & Technology, IET . 2018,第8期

机译：分形图像处理技术的多类支持向量机识别多个局部放电模式
4. Hybrid Abnormal Patterns Recognition of Control Chart Using Support Vector Machining [C] . Xiaoh Wang International Conference on Computational Intelligence and Security . 2008

机译：混合异常模式使用支持向量加工控制图表的识别
5. Fusing support vector machines and soft computing for pattern recognition and regression. [D] . Shen, Judong. 2005

机译：融合支持向量机和软计算以进行模式识别和回归。
6. Signal-piloted processing and machine learning based efficient power quality disturbances recognition [O] . Saeed Mian Qaisar 2021

机译：信号引导加工和基于机器的高效电力质量扰动识别
7. Recognition of multiple partial discharge patterns by multi‐class support vector machine using fractal image processing technique [O] . Vigneshwaran Basharan, Willjuice Iruthayarajan Maria Siluvairaj, Maheswari Ramasamy Velayutham 2018

机译：使用分形图像处理技术通过多级支持向量机识别多级支持向量机的识别
8. Feature Maps Based Weight Vectors for Spatiotemporal Pattern Recognition With Neural Nets [R] . Yen, M. M. , Blackburn, M. R. , Nguyen, H. G. 1990

机译：基于特征映射的权重向量用于神经网络的时空模式识别

Abnormal Quality Pattern Recognition of Industrial Process Based on Multi-Support Vector Machine

著录项

引文网络

相似文献

相关主题

期刊订阅