Trends in extreme learning machines: A review
Extreme learning machine (ELM) has gained increasing interest from various research fields
recently. In this review, we aim to report the current state of the theoretical research and …
recently. In this review, we aim to report the current state of the theoretical research and …
A comprehensive review of extreme learning machine on medical imaging
The feedforward neural network based on randomization has been of great interest in the
scientific community, particularly extreme learning machines, due to its simplicity, training …
scientific community, particularly extreme learning machines, due to its simplicity, training …
Adaptive dynamic surface control with disturbance observers for battery/supercapacitor-based hybrid energy sources in electric vehicles
The underlying control in the hybrid energy source system (HESS) of an electric vehicle (EV)
plays a pivotal role. Uncertainty is unavoidable in system modeling owing to variations in …
plays a pivotal role. Uncertainty is unavoidable in system modeling owing to variations in …
[PDF][PDF] 大数据下的机器学习算法综述
何清， 李宁， 罗文娟， 史忠植 - 模式识别与人工智能, 2014 - researchgate.net
摘要随着产业界数据量的爆炸式增长, 大数据概念受到越来越多的关注. 由于大数据的海量,
复杂多样, 变化快的特性, 对于大数据环境下的应用问题, 传统的在小数据上的机器学习算法很多 …
复杂多样, 变化快的特性, 对于大数据环境下的应用问题, 传统的在小数据上的机器学习算法很多 …
A hybrid deep learning CNN–ELM for age and gender classification
Automatic age and gender classification has been widely used in a large amount of
applications, particularly in human-computer interaction, biometrics, visual surveillance …
applications, particularly in human-computer interaction, biometrics, visual surveillance …
Local receptive fields based extreme learning machine
Extreme learning machine (ELM), which was originally proposed for" generalized" single-
hidden layer feedforward neural networks (SLFNs), provides efficient unified learning …
hidden layer feedforward neural networks (SLFNs), provides efficient unified learning …
Ensemble deep learning models for heart disease classification: A case study from Mexico
Heart diseases are highly ranked among the leading causes of mortality in the world. They
have various types including vascular, ischemic, and hypertensive heart disease. A large …
have various types including vascular, ischemic, and hypertensive heart disease. A large …
[PDF][PDF] 极限学习机前沿进展与趋势
徐睿， 梁循， 齐金山， 李志宇， 张树森 - 计算机学报, 2019 - cjc.ict.ac.cn
摘要极限学习机(ExtremeLearningMachine, ELM) 作为前馈神经网络学习中一种全新的训练
框架, 在行为识别, 情感识别和故障诊断等方面被广泛应用, 引起了各个领域的高度关注和深入 …
框架, 在行为识别, 情感识别和故障诊断等方面被广泛应用, 引起了各个领域的高度关注和深入 …
A parallel multiclassification algorithm for big data using an extreme learning machine
As data sets become larger and more complicated, an extreme learning machine (ELM) that
runs in a traditional serial environment cannot realize its ability to be fast and effective …
runs in a traditional serial environment cannot realize its ability to be fast and effective …
Automatic power quality events recognition based on Hilbert Huang transform and weighted bidirectional extreme learning machine
In this paper, Hilbert Huang transform (HHT) and weighted bidirectional extreme learning
machine (WBELM) are integrated to detect and classify power quality events (PQEs) in real …
machine (WBELM) are integrated to detect and classify power quality events (PQEs) in real …