Theory and numerical analysis of extreme learning machine and its application for different degrees of defect recognition of hoisting wire rope
Z Zhao, X Zhang - Shock and Vibration, 2018 - Wiley Online Library
An improved classification approach is proposed to solve the hot research problem of some
complex multiclassification samples based on extreme learning machine (ELM). ELM was …
complex multiclassification samples based on extreme learning machine (ELM). ELM was …
Short-term harmonic forecasting and evaluation affected by electrified railways on the power grid based on stack auto encoder neural network method and the …
Y Pang - 2018 13th IEEE Conference on Industrial Electronics …, 2018 - ieeexplore.ieee.org
With the development towards high-speed, high-capacity, high-density networking of high-
speed railway, harmonic problems caused by high-speed locomotives are getting more and …
speed railway, harmonic problems caused by high-speed locomotives are getting more and …
A Multi-Scale Component Feature Learning Framework Based on Cnn-Bigru and Online Sequential Regularized Extreme Learning Machine for Wind Speed …
X Zhang, H Zhao, Z Wang, S Qian, X Li, T Peng… - Available at SSRN … - papers.ssrn.com
Wind energy has been widely used as a clean energy source, and short-term wind speed
predictions have also played a crucial role in wind power generation. However, non …
predictions have also played a crucial role in wind power generation. However, non …
Randomized Neural Networks for Recursive System Identification in the Presence of Outliers: A Performance Comparison
In this paper, randomized single-hidden layer feedforward networks (SLFNs) are extended
to handle outliers sequentially in online system identification tasks involving large-scale …
to handle outliers sequentially in online system identification tasks involving large-scale …
New Concept for FES-Induced Movements
Abstract Functional Electrical Stimulation (FES) had become a viable option for movement
restoration, therapy and rehabilitation in neurologically impaired subjects. Although the …
restoration, therapy and rehabilitation in neurologically impaired subjects. Although the …
Online sequential learning with non-iterative strategy for feature extraction, classification and data augmentation
AN Paul - 2020 - knowledgecommons.lakeheadu.ca
Network aims to optimize for minimizing the cost function and provide better performance.
This experimental optimization procedure is widely recognized as gradient descent, which is …
This experimental optimization procedure is widely recognized as gradient descent, which is …
A New Method towards Achieving FES-Induced Movement
M Ahmed - International Journal of Integrated Engineering, 2018 - penerbit.uthm.edu.my
Literature has revealed that applications of Functional Electrical Stimulation (FES) for
restoration of movements have been yielding promising results in people with impaired …
restoration of movements have been yielding promising results in people with impaired …