المؤلفون: 黄乾, 马开刚, 韦善阳, 黎静华

المصدر: 全球能源互联网, Vol 2, Iss 1, Pp 70-77 (2019)

مصطلحات موضوعية: 短期负荷预测, 强化学习, 径向基人工神经网络, 自组织映射, 径向基中心, Energy industries. Energy policy. Fuel trade, HD9502-9502.5

وصف الملف: electronic resource

العلاقة: http://www.gei-journal.com/cn/upload/files/201901/09Test基于强化自组织映射和径向基神经网络的短期负荷预测.pdf; https://doaj.org/toc/2096-5125Test

الوصول الحر: https://doaj.org/article/6ad0e7c1f9ae4a61802a4f3a770f1a27Test

المؤلفون: 杨胜欢, 李永红, 晏 超, 黎 静, 冯颖璐, 胡卉子妮

المصدر: Chinese General Practice Nursing; Jun2024, Vol. 22 Issue 12, p2332-2335, 4p

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المؤلفون: 张整洁, 刘阳, 潘利洪, 贺晓华, 黎静, 甚永毅

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العنوان البديل: Computational cost optimization of non-intrusive load identification algorithm based on image classification network. (English)

المؤلفون: 杨舒惠, 黎静华, 韦善阳

المصدر: Electric Power Automation Equipment / Dianli Zidonghua Shebei; Jan2024, Vol. 44 Issue 1, p141-146, 8p

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المؤلفون: 黎静华, 宋诚鑫, 兰 飞

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المؤلفون: 吴 莉, 孙 琰, 童黎静, 单玉娟

المصدر: Journal of Modern Medicine & Health; 7/15/2023, Vol. 39 Issue 13, p2218-2221, 4p

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المصدر: Chinese Evidence-based Nursing; Jul2023, Vol. 9 Issue 13, p2459-2463, 5p

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المؤلفون: 何梁, 薛龙, 郑建鸿, 刘木华, 黎静

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