ExtremeLearningMachine相关论文
The ensemble is a technique that strategically combines basic models to achieve better accuracy rates.Diversity,combinat......
A novel extreme learning machine (ELM) based grid search method with cutoff selection is proposed in this paper for cred......
A Balanced Comparative RNA Secondary Structure Prediction Method Using Weighted Adaboost Extreme Lea
RNA secondary structure prediction is an open problem in bioinformatics.Comparative sequence analysis method is widely u......
Nuclear magnetic resonance(NMR)image is often used in medical diagnosis.Andimage super-resolution(SR)is the important st......
为了解决基于深度学习的网格分割方法在训练分割分类器过程中时间消耗大的问题,提出了一种基于蚁狮优化的极限学习机的网格分割方......
交通标志识别(TSR)系统是智能交通系统的重要研究方向。道路交通环境复杂、交通标志数据库规模庞大等因素导致在设计TSR系统可行性......
针对监督分类提取不透水面需要人工获取大量训练样本的制约，提出了一种亚米级高空间分辨率夜光遥感影像引导下的不透水面自动提取方......
为了快速而准确地判别煤矿突水水源类型，提出了一种构建多层正则极限学习机(M-RELM)模型的方法，该模型融合了非线性特征提取和分类学......
围绕工字钢梁损伤识别问题,研制了一种新型双端固定梁结构光纤布拉格光栅(FBG)振动传感器,实现了工字钢梁振动响应的有效获取。在......
Application of an extreme learning machine network with particle swarm optimization in syndrome clas
Objective:By optimizing the extreme learning machine network with particle swarm optimization,we established a syndrome ......
船舶升沉运动预报是主动升沉补偿系统中的重要组成部分。为了满足船舶升沉运动预测的实时性和准确性要求,本文提出了一种混沌理论......
性能参数预测技术是航空发动机健康管理的核心研究内容,越来越多的机器学习算法被应用于该领域,正则化极限学习机(Regularized ext......
