Results 31 to 40 of about 849 (155)
Random Forest Algrithom for Computer-Aided Alzheimer's Disease Diagnosis [PDF]
阿尔茨海默症(AD)是世界上最常见的疾病之一。它是一种神经退行性疾病,会使得患者的认知功能出现障碍,记忆力衰退。至目前为止,对其尚未有有效地知了手段。也因此,AD的早期诊断是一个非常重要的研究领域,它吸引了许多研究人员参与到其中来寻找新的有效的诊断方法。 在本文中,我们主要通过随机森林算法,使用被试的MRI图像数据,对其是否可能患有AD病的进行诊断。随机森林算法能够从MRI的高维数据中学习到其低维特征和低维表达,我们使用随机森林算法对AD和正常对照组(NC),AD和轻度认知障碍患者(MCI ...
GAKIZA CANISIUS
core
ABSTRACT Net photosynthetic rate (Pn) serves as a key indicator for evaluating plant growth and yield. In order to explore an effective method for monitoring winter rapeseed Pn using unmanned aerial vehicle (UAV) multispectral technology, the winter rapeseed was taken as the research object and the multispectral images were obtained through UAVs in ...
ChengYang Ni +7 more
wiley +1 more source
红外光谱快速识别食用植物油种类的研究Fast identification of edible vegetable oil kinds by infrared spectroscopy
为实现食用植物油种类的快速无损识别,为公安实战中打击“食药环”犯罪提供参考,借助衰减全反射-傅里叶变换红外光谱技术对不同类别、品牌食用植物油进行了多层次分类识别工作。采用标准正态变换(SNV)和一阶导数预处理消除基线和其他背景干扰,使得重叠峰发生分离,从而提高检测的分辨率和灵敏度,利用竞争性自适应重加权算法(CARS)提取特征波长,结合基于布谷鸟搜索算法优化的极限学习机(CS-ELM)模型对不同种类和品牌的食用植物油进行分类识别,同时对比随机森林模型与CARS-CS ...
接昭玮1, 李绅2, 汪睿璇3,王继芬1,张震1, 徐晓杰4,周娣4,石学军4 JIE Zhaowei1, LI Shen2, WANG Ruixuan3, WANG Jifen1, ZHANG Zhen1, XU Xiaojie4, ZHOU Di4, SHI Xuejun4
doaj +1 more source
Research of Biological Macromolecule Sequence Prediction Method Based on Multi-Information Fusion [PDF]
随着测序技术的发展,生物大分子序列数量快速积累,迫切需要了解序列所蕴含的重要生命信息。近年来,生物大分子序列的结构与功能研究已经成为生物信息学领域研究的热点问题。目前,基于生物大分子序列和机器学习模型的方法是生物信息学领域中预测序列结构和功能的重要研究手段。本文从如何构建有效的序列向量化方法、分类算法、以及高质量数据集角度出发,对生物大分子序列预测的几个具体问题进行了深入研究,包括蛋白质结构类预测、蛋白质折叠模式类预测、细胞因子与受体相互作用预测、细胞穿透肽预测、以及microRNA前体预测 ...
魏乐义
core
China's Eco‐Civilisation, Climate Leviathan, and Hobbesian Energy Transition
Abstract Scholars have hitherto tended to theorise China's ecological civilisation project either as a form of environmental authoritarianism or as a vision of eco‐socialism. This paper contributes to the conversation by conducting a textual analysis of Chinese scholarly discussions on eco‐civilisation.
David Chen
wiley +1 more source
Identifying predictors of translocation success in rare plant species
Abstract The fundamental goal of a rare plant translocation is to create self‐sustaining populations with the evolutionary resilience to persist in the long term. Yet, most plant translocation syntheses focus on a few factors influencing short‐term benchmarks of success (e.g., survival and reproduction).
Joe Bellis +43 more
wiley +1 more source
An Enterprise Credit Scoring Model Based On Improved Random Forest Algorithm [PDF]
随着我国经济和社会的迅速发展,经济活动日益活跃,业务多元化,在经济活动起到重要作用的金融机构面临着许多风险。企业的信用风险是金融机构面临的最重要的风险之一。因此建立一个客观的、有效的、完善的企业信用评级模型是十分重要的。 企业信用评级问题的实质可以看作是智能学习算法中的分类和排序问题。现在基于人工智能如:人工神经网络(ANN)、支持向量机(SVM)等的企业信用评级模型,大多数为单分类器的模型。这些单分类模型面对噪声多、分布复杂以及数据量大的企业信用评级数据,往往难以取得很好的效果。本文引入一种稳定性高 ...
吴兢
core
Rapid identification of the authenticity of iron rod yam by in-situ mass spectrometry based on random forest algorithm [PDF]
ObjectiveTo establish a fast and nondestructive analysis method for identifying iron rod yam.MethodsAtmospheric pressure chemical ionization mass spectrometry (APCI-MS) was employed to detect the chemical constituents of iron rod yam(TG) and non-iron rod
CHEN Chun +4 more
core +1 more source
Simulation of Vapor Compression CO2 Hydrate Direct Contact Cold Thermal Energy Storage System [PDF]
In this study, a simulation model of a water-cooled direct contact cold thermal energy storage system using compressed CO2 hydrate was established, and the charging characteristics and total cold thermal energy storage capacity of the cold thermal energy
Dou Binlin +6 more
core +1 more source
高压断路器是电力系统的核心设备,其稳定可靠运行具有重要意义。高压断路器分合闸电流曲线能够很大程度上反映高压断路器分合闸机构的运行状态,因此文中研究了在几种典型故障条件下,断路器分合闸线圈电流的变化。随机森林算法由于算法实现过程中的两次随机过程,使得算法过拟合风险大大降低,模型泛化能力大大增强。提出了使用随机森林算法识别故障电流曲线,取得了很好的效果。
刘芹 +9 more
doaj

