Gaoya dianqi在变压器故障诊断过程中，进行合理的特征优选，将有助于提高诊断模型的诊断精度，为此，文中提出了一种基于金豺优化算法（golden Jackal optimization，GJO）特征量优选与AO-RF的变压器故障诊断模型。首先，采用GJO对构建的21维变压器油中溶解气体特征量进行优选；然后，根据GJO得到的特征优选结果，采用天鹰算法（aquila optimizer，AO）优化随机森林（random forest，RF）的变压器故障诊断模型对变压器故障进行诊断，并与不同特征量 ...
叶育林 +8 more
doaj
[Prediction of hemorrhage rate after tonsil surgery in children based on random forest model]. [PDF]
Lin Chuang Er Bi Yan Hou Tou Jing Wai Ke Za ZhiXu H +18 more
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Zhendong Ceshi yu Zhenduan针对发动机噪声的实验室快速预测需求问题，基于支持向量机（support vector machines， 简称SVM）、随机森林（random forest，简称RF）和多层感知机（multilayer perceptron， 简称MLP）等机器学习方法，提出了通过发动机表面结构振动时频域数据预测辐射噪声的方法。首先，在发动机半消声实验室内采集了多种工况下的发动机表面振动和辐射噪声数据；其次，根据不同机器学习方法的原理确定数据集和模型参数，并进行参数调优；最后，根据预测结果的最大绝对误差 ...
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[Development of a machine learning-based ionization efficiency prediction model for per- and polyfluoroalkyl substances and its application in semi-quantitative analysis]. [PDF]
Se PuSun SZ +6 more
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[Predictive value of a multimodal radiomics model for central lymph node metastasis in clinically node-negative papillary thyroid microcarcinoma based on machine learning]. [PDF]
Zhejiang Da Xue Xue Bao Yi Xue BanFeng J +5 more
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Gaoya dianqi热带气旋引发的强风天气现象导致海上风电场输出功率变化异常，形成风电功率爬坡现象，严重威胁岸上主电网的安全运行。基于此，通过分析与构建考虑热带气旋典型气象因素的爬坡致因，提出了一种基于关键爬坡致因的海上风电爬坡事件预测方法。首先，分析了热带气旋条件下典型气象因素对风电功率及其爬坡的影响，构建了风电功率爬坡归因模型与爬坡致因关键特征。然后，基于爬坡致因关键特征，采用代价敏感逻辑回归模型、加权朴素贝叶斯模型和代价敏感随机森林模型，构建直接爬坡预测基础模型。最后，针对基础模型 ...
严佳丽 +4 more
doaj
[Identification of high-risk preoperative blood indicators and baseline characteristics for multiple postoperative complications in rheumatoid arthritis patients undergoing total knee arthroplasty: a multi-machine learning feature contribution analysis]. [PDF]
Zhongguo Xiu Fu Chong Jian Wai Ke Za ZhiZhu K +6 more
europepmc +1 more source
[Establishment of a Noninvasive Diagnostic Model for Wilson Disease Using Metallomics and Machine Learning]. [PDF]
Sichuan Da Xue Xue Bao Yi Xue BanZhou H +6 more
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Shuitu Baochi Xuebao[目的] 在滑坡易发性评价中,滑坡预测模型的选取和优化对运算过程的高效性和预测结果的准确性至关重要。针对现有单目标遗传优化算法(genetic algorithm,GA)易陷入早熟、局部搜索能力差、全局优化速度慢等问题,拟提出一种新的优化算法框架,将多目标遗传算法中的经典算法—带精英选择策略的非支配排序算法(the nondominated sorting genetic algorithm with an elite strategy,NSGA-Ⅱ)与常用机器学习模型[随机森林(random ...
张兴存 +4 more
doaj
[Machine learning-based prediction model for caries in the first molars of 9-year-old children in Suzhou]. [PDF]
Hua Xi Kou Qiang Yi Xue Za ZhiChen L, Wang X, Zhu K, Ren K, Wu Z.
europepmc +1 more source