Results 111 to 120 of about 3,395 (167)
Micro gas sensor array and application of artifical neural network [PDF]
简要分析由MEMS工艺制成的新型微气体传感器阵列的原理及其优点 ,在此基础上 ,应用人工神经网络对气体传感器阵列的输出进行模式分类、识别 ,实现对单一或混合气体的有选择性探测 ,识别率可高达 95 %。The principle and advantage of micro gas sensor array made by MEMS technology is analyzed summarily, and based on it, arithmetic of BP neural network is ...
冯勇建, 吴青海, 邓俊泳
core
通过建立计算预制装配式型钢混凝土(PSRC)梁抗剪承载力的智能模型,在一定程度上提高了计算精度与适用性。基于BP人工神经网络算法,通过对影响PSRC梁抗剪承载力的相关参数进行梳理,选取14个主要影响参数作为输入层,以试算法确定隐含层节点数为5,初步构建了3层结构人工神经网络系统;以收集的76组试验数据作为学习样本,对构建的神经网络系统进行训练,建立了对PSRC梁及SRC梁抗剪承载力计算的N14-5-1智能模型。使用智能模型对6个PSRC梁构件及6个SRC梁构件进行抗剪承载力计算,并通过与规范公式计算结果、
刘坚 +13 more
doaj
振荡波电压法因其无损检测特性被广泛应用于局部放电检测中,而目前缺乏对振荡波电压下电缆故障类型的模式识别研究。为此,笔者根据常见的电缆缺陷类型,制作了4种10 kV交联聚乙烯电缆中间接头人工缺陷模型,对4种缺陷模型施加振荡波电压并测量局部放电信号;提出以局部放电信号正负半波统计算子作为模式识别的输入特征量,采用支持向量机分类器对4种典型电缆缺陷进行模式识别;并将识别结果与采用人工神经网络的模式识别结果进行对比,验证了该方法的有效性。结果表明 ...
陆国俊 +4 more
doaj
Construction of a diagnostic model based on random forest and artificial neural network for peri-implantitis. [PDF]
Yang H +5 more
europepmc +1 more source
[Progresses on temporal interference electromagnetic stimulation for non-invasive deep brain function modulation]. [PDF]
Zhou T, Yu P, Xu Y.
europepmc +1 more source
[The application of machine learning in the auxiliary diagnosis of specific learning disorder]. [PDF]
Zhao H, Mei SL, Wang JY, Chi X.
europepmc +1 more source
[Extracellular matrix materials and tissue regeneration and repair]. [PDF]
Zhao L, Xie H.
europepmc +1 more source
[Clinical application and mechanistic studies of psychedelics for treatment of depression: progress and future challenges]. [PDF]
Xia K, Gao T.
europepmc +1 more source
[Ethical considerations for artificial intelligence-enhanced brain-computer interface]. [PDF]
Cao Y +6 more
europepmc +1 more source

