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深度学习在电网智能调控系统中应用研究 被引量:8
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作者 肖倩宏 康鹏 +2 位作者 杜江 宋弦 安甦 《机械与电子》 2021年第1期38-42,共5页
基于对人工智能深度学习的研究,将该技术与电力智能调控深入融合,实现以数据、知识为基础的实时在线分析控制型电力调控。首先,分析深度学习的发展及其对电网调度的影响,针对深度学习在出力预测、状态估计和故障诊断方面的应用进行说明... 基于对人工智能深度学习的研究,将该技术与电力智能调控深入融合,实现以数据、知识为基础的实时在线分析控制型电力调控。首先,分析深度学习的发展及其对电网调度的影响,针对深度学习在出力预测、状态估计和故障诊断方面的应用进行说明。然后,提出基于人工智能深度学习的电力调控系统构架,分析其与传统调控系统的区别,突出了该系统所实现的功能。接着,采用基于多核图像处理器(MGP)系统,阐明了所提出的智能调控系统实现的方法。最后,通过分析人工智能化调控系统的应用案例,说明该系统具有广泛的应用性。 展开更多
关键词 深度学习 电力系统调度 人工智能 多核图像处理
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Application of Computed Tomographic Colonography in Diagnosis of Colonic Polyps 被引量:1
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作者 Ming-wei Qin Wei-dong Pan Guan-ning Cong Yun Wang Yun-qing Zhang Ji-xiang Liang 《Chinese Medical Sciences Journal》 CAS CSCD 2009年第1期36-40,共5页
Objective To assess the clinical values of computed tomographic colonography (CTC) in diagnosis of colonic polyps. Methods Forty-two patients who were clinically suspicious of colonic polyps or underwent colonic po... Objective To assess the clinical values of computed tomographic colonography (CTC) in diagnosis of colonic polyps. Methods Forty-two patients who were clinically suspicious of colonic polyps or underwent colonic polyps screening received examinations with both CTC and conventional colonoscopy. Sixteen- or 64-slice spiral computed tomography and professional imaging processing techniques were used for evaluation. Per-polyp and per-patient results were analyzed. Those by per-polyp were subsequently divided into ≥10 mm group, 5-10 mm group, and ≤5 mm group. Sensitivity, positive predictive value (PPV), specificity, negative predictive value (NPV), and accuracy were calculated using statistical method for diagnostic studies, with conventional colonoscopy as a gold standard. Results Ninety and 61 polyps were found by CTC and conventional colonoscopy, respectively. The per-polyp sensitivity/PPV were 80.3%/55.6% in total, and 100%/92.9%, 93.8%/65.2%, and 68.8%/ 41.5% in the ≥10 mm group, 5-10 mm group, and ≤5 turn group, respectively. The per-patient sensitivity, PPV, specificity, NPV, and accuracy were 97.1%, 89.5%, 42.9%, 75.0%, and 88.1%, respectively. Conclusion CTC can clearly reveal the morphology of colonic polyps and be used as a routine monitoring method for the clinical diagnosis of polyps. 展开更多
关键词 colonic polyp X-ray computed tomography COLONOSCOPY
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