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Conservation Biology, Volume 39, Issue 2, April 2025.Abstract Emerging infectious diseases are increasingly recognized as a significant threat to global biodiversity conservation. Elucidating the relationship between pathogens and the host microbiome could lead to novel approaches for mitigating disease impacts.
Alexander S. Romer +25 more
wiley +1 more source
四川大学学报. 自然科学版, 2008 前馈神经网络中隐层神经元的个数与它的学习和泛化能力密切相关.通过广义逆矩阵算法解决最小二乘问题改进神经网络自构行学习算法,得到一种新的前馈神经网络删剪算法.将新算法用于已经训练好的大型网络,能删剪"冗余"的隐层神经元,得到一个最精简的神经网络.此精简的神经网络不需要重新训练仍能保持原有的性能,并且泛化能力很好.仿真实例说明此算法的有效性和可行性.
艾芳菊, 李晓芳
doaj
Uncovering Xi Jinping's Policy Agenda: Text As Data Approach
The Developing Economies, Volume 63, Issue 1, Page 9-46, March 2025.How many agendas has Xi Jinping put forth and promoted since taking office in 2012, and what are the types of agendas? How much of political attention has each agenda received, and how has the allocation of attention changed over time? We utilize a dataset of presidential statements, speeches, and reports from 2012 to 2022 and employed automated text ...
Jaehwan Lim, Asei Ito, Hongyong Zhang
wiley +1 more source
Dizhen xuebao, 2021 本文以提高地震数据的成像质量为目标，提出一种智能的卷积神经网络降噪框架，从带有噪声的地震数据中自适应地学习地震信号。为了加速网络训练和避免训练时出现梯度消失现象，我们在网络中加入残差学习和批标准化的方法，并采用了ReLU激活函数和Adam优化算法优化网络。此外，Marmousi和F3数据集被用来对网络进行训练和测试，经过充分训练的网络不仅能在学习中保留地震数据特征，而且能去除随机噪声。首先充分地训练网络，从中提取出随机噪声，并保留学习到的地震数据特征，之后通过重建地震数据估算测试集中的波形特征 ...
Tian Chen, Yuanyuan Yi
doaj +1 more source
Trade credit and corporate digital transformation: The role of managerial ability
Financial Review, Volume 59, Issue 3, Page 779-806, August 2024.Abstract We examine whether managerial ability affects the relationship between corporate digital transformation and trade credit. To measure digital transformation, we perform a textual analysis of companies’ annual reports using a customized Chinese dictionary containing digital transformation keywords based on national policy documents and academic ...
Liukai Wang +3 more
wiley +1 more source
Gaoya dianqi, 2004 利用变压器的油色谱试验数据对神经网络进行训练,将训练后的神经网络用于变压器的状态诊断。同时利用遗传算法优化神经网络的结构。算例结果表明,利用遗传算法和神经网络相结合的人工智能方法可以有效地诊断变压器的状态。
戴仁昶, 赵寿生
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Computer vision model for the detection of canine pododermatitis and neoplasia of the paw
Veterinary Dermatology, Volume 35, Issue 2, Page 138-147, April 2024.Background – Artificial intelligence (AI) has been used successfully in human dermatology. AI utilises convolutional neural networks (CNN) to accomplish tasks such as image classification, object detection and segmentation, facilitating early diagnosis.
Andrew Smith +7 more
wiley +1 more source
Dianci bileiqi, 2011 基于BP算法的神经网络和基于实数编码遗传算法的神经网络用于模式识别有其各自的优缺点。为此提出利用GA-BP混合算法神经网络,对GIS典型缺陷的局部放电进行模式识别。以超声局部放电探测仪对不同缺陷包括金属突出物、悬浮电位缺陷和绝缘子内部气泡引起的局部放电信号进行了测量,并从测量结果中提取PRPD谱图特征值作为训练样本和测试样本。研究结果表明:相比BP神经网络,GA-BP神经网络执行效率更高,识别效果更好,且克服了BP神经网络容易陷入局部最优的缺点;而相比GA神经网络,其运行时间短,适用于实际应用。
吕启深, 吴磊, 梁基重, 杨益公
doaj
Gaoya dianqi, 1995 论述了神经网络在气体绝缘组合电器（GIS）局部放电诊断系统中的应用,旨在利用神经网络的分类功能,应用实验室中的局部放电信号的模式,通过经过学习的神经网络,以识别未知的局部放电模式。结果表明,利用具有神经网络的诊断系统,可以获得传统的诊断系统无法获得的良好效果。
韩小莲, 冯允平, 邱毓昌
doaj
四川大学学报. 自然科学版, 2011 提出了用遗传算法优化的神经网络和PSO算法优化的神经网络图像复原算法,并对它们的复原效果进行了比较.先用优化算法对神经网络的结构进行优化,然后利用优化后的神经网络的学习和泛化能力,用一组样本图像对网络进行训练,建立退化图像与原图像之间的非线性映射关系,最后用训练好的进化神经网络对待复原的退化图像进行图像复原.实验结果表明复原的图像无论在主观视觉还是定量分析上都取得了很好的效果.
李伟, 王正勇, 余艳梅
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