Results 81 to 90 of about 18,329 (166)
Gaoya dianqi, 2022 为改善BP神经网络算法需要大量训练数据和预测精度有限等问题,提出了以输入层、隐含层和输出层为目标的分层优化思路。首先,利用灰色模型良好的小数据趋势辨别能力对输入层数据进行处理,以更好地提炼数据内部蕴含的数学规律,压缩神经网络所需训练数据样本数量;然后,利用遗传算法优越的全局寻优能力确定隐含层的初始权值和阈值,抑制神经网络隐含层参数无法准确获取所导致的误差较大和泛化能力弱的问题;最后,采用蚁群优化算法对输出层数据进行优化,以进一步改善神经网络模型的计算精度。以波动性较强的风电功率进行算例验证,结果表明 ...
朱显辉 +4 more
doaj
Spectroscopic Method for Detection of Soluble Solid Content in Cherry Tomato Using Deep Convolutional Generative Adversarial Network-Based Data Augmentation [PDF]
Considering insufficient sample numbers in the practical detection of soluble solid content (SSC) in cherry tomato, we proposed a deep convolutional generation adversarial network (DCGAN) model to expand spectral data and SSC label data, and established ...
WU Zhijing, LIU Fuqiang, LI Zhigang, CHEN Hui
core +1 more source
Detection Method of X-ray Fuel Rod End Plug Defect Based on Deep Learning [PDF]
Amidst the global expansion of nuclear power generation, ensuring the integrity of nuclear fuel rods is crucial for the safe operation of nuclear power plants.
ZHANG Xiaogang, YU Dongbao, TANG Hui, ZHU Yongli
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Research on self-training neural machine translation based on monolingual priority sampling [PDF]
To enhance the performance of neural machine translation (NMT) and ameliorate the detrimental impact of high uncertainty in monolingual data during the self-training process, a self-training NMT model based on priority sampling was proposed.
DU Xiaofeng +4 more
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Dianci bileiqi, 1973 电力系统配电装置位于强烈雷电活动地区。以雷日和雷时表示的雷电强度列于表1。考虑强的雷电活动,所有的逐年增多的电力系统配电装置都用阀式避雷器来防护架空线路的大气过电压波。避雷器数量,正如图1所示,亦是逐年在增长。220、110和35仟伏避雷器通常装于变电站母线上和电力变压器与断路器之间。它们的动作数据如下:
汪仁根
doaj
Research on Food Image Classification Algorithm based on Improved MobileNetV3-Large [PDF]
Food image recognition plays a crucial role in food safety monitoring, nutritional analysis, and dietary recommendation systems. However, the diversity, complexity, and external factors such as lighting conditions pose numerous difficulties and ...
HE Wei-chan, QIN Jing-hui, YANG Zhi-jing
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TCGCL: Complex Network Traffic Classification Algorithm Based on Graph Contrastive Learning [PDF]
Network traffic classification technology plays a crucial role in the field of network security. Modern network architecture is highly complex, and various abnormal situations will inevitably be encountered during network traffic transmission.
HU Zhongze, QIN Hongchao, LI Zhenjun, LI Yanhui, LI Ronghua, WANG Guoren
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Shuitu Baochi Xuebao, 2017 利用遂宁水土保持试验站5个径流小区1984—2015年次降雨和径流输沙数据，基于降雨过程定量划分出4种雨型，分析了雨型对不同坡度坡耕地产流产沙的作用。结果表明：径流深与各时段最大雨强均呈极显著相关（p＜0.01），随着坡度的增加，最大相关系数所对应的雨强时段越短；冲刷量均与I平均呈极显著相关，且相关系数最大。径流深、冲刷量与雨强拟合关系均为幂函数，分别为“凸型”和“凹型”增函数，且拟合度区间分别为[0.79，0.88]和[0.90，0.97]，说明冲刷量和雨强的关系更密切 ...
马, 陈, 单志杰, 郎登潇, 廖
doaj
[Epilepsy detection and analysis method for specific patient based on data augmentation and deep learning]. [PDF]
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi, 2022 Yang Y, Qin X, Lin X, Wen H, Peng Y.
europepmc +1 more source
Backdoor defense method in federated learning based on contrastive training [PDF]
In response to the inadequacy of existing defense methods for backdoor attacks in federated learning to effectively remove embedded backdoor features from models, while simultaneously reducing the accuracy of the primary task, a federated learning ...
Bing CHEN +4 more
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