[Recent research on machine learning in the diagnosis and treatment of necrotizing enterocolitis in neonates]. [PDF]
Zhongguo Dang Dai Er Ke Za Zhi, 2023 Cui C, Chen FL, Li LQ.
europepmc +1 more source
[Explore the potential diagnostic markers of primary Sjögren syndrome by bioinformatics combined with machine learning]. [PDF]
Beijing Da Xue Xue Bao Yi Xue BanLi B, Bai L, Wang Y, Zhu L.
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Earth Science-Journal of China University of GeosciencesTong Wang +11 more
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[Integrating Bioinformatics and Machine Learning Algorithms to Screen Inflammatory Biomarkers for Atrial Fibrillation and Experimental Validation]. [PDF]
Sichuan Da Xue Xue Bao Yi Xue BanBu Q +9 more
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基于模拟退火法与多层感知机的变压器故障诊断模型及其泛化性能研究
Gaoya dianqi为诊断电力变压器内部的潜伏性故障，以溶解气体分析（DGA）数据为特征量，提出了一种基于多层感知机（MLP）的变压器故障诊断模型。以实际运行变压器的故障数据为学习样本，利用模拟退火法实现多层感知机内部节点之间的连接权重优化。以不同特征组合作为MLP的输入，对比、分析了MLP诊断故障类型的正确率；研究了MLP拓扑结构、参数正则化等对诊断模型泛化性能的影响。使用训练数据以外的变压器故障数据测试学习完成的诊断模型，获得较高的测试准确率。
高超 +9 more
doaj
[Plasma metabolomics combined with machine learning for classifying ischemic stroke subtypes and predicting the etiology of cryptogenic stroke]. [PDF]
Nan Fang Yi Ke Da Xue Xue BaoZi Y, Liu Z, Deng Z.
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Research on Dynamic Team Formation of Multi-Robots Reinforcement Learning
, 2003 在人工智能领域中 ,强化学习理论由于其自学习性和自适应性的优点而得到了广泛关注 随着分布式人工智能中多智能体理论的不断发展 ,分布式强化学习算法逐渐成为研究的重点 首先介绍了强化学习的研究状况 ,然后以多机器人动态编队为研究模型 ,阐述应用分布式强化学习实现多机器人行为控制的方法 应用SOM神经网络对状态空间进行自主划分 ,以加快学习速度 ;应用BP神经网络实现强化学习 ,以增强系统的泛化能力 ;并且采用内、外两个强化信号兼顾机器人的个体利益及整体利益 为了明确控制任务 ...
张汝波, 顾国昌, 王醒策
core
[Personalized lower-limb gait assessment method based on musculoskeletal modeling and machine learning]. [PDF]
Sheng Wu Yi Xue Gong Cheng Xue Za ZhiZeng D +5 more
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