Results 21 to 30 of about 98,314 (264)

A Novel Extreme Learning Machine Classification Model for e-Nose Application Based on the Multiple Kernel Approach

Sensors, 2017
A novel classification model, named the quantum-behaved particle swarm optimization (QPSO)-based weighted multiple kernel extreme learning machine (QWMK-ELM), is proposed in this paper. Experimental validation is carried out with two different electronic
Yulin Jian, Daoyu Huang, Jia Yan, Kun Lu, Ying Huang, Tailai Wen, Tanyue Zeng, Shijie Zhong, Qilong Xie   +8 more
doaj   +1 more source

A compensation method based on extreme learning machine to enhance absolute position accuracy for aviation drilling robot

Advances in Mechanical Engineering, 2018
To enhance the absolute position accuracy and solve complex modeling and computational complexity problems in traditional compensation methods for aviation drilling robots, a compensation method based on the extreme learning machine model was proposed in
Peijiang Yuan, Dongdong Chen, Tianmiao Wang, Shuangqian Cao, Ying Cai, Lei Xue   +5 more
doaj   +1 more source

Soft Sensor for VFA Concentration in Anaerobic Digestion Process for Treating Kitchen Waste Based on DSTHELM

IEEE Access, 2020
Kitchen waste is both a pollutant and an available resource. The anaerobic digestion (AD) technology can effectively treat waste and generate biogas. The concentration of volatile fatty acids (VFA) is one of the essential quality monitoring indicators in
Pengfei Yan, Boyang Shen, Yuhong Wang
doaj   +1 more source

An Extreme Learning Machine Based on the Mixed Kernel Function of Triangular Kernel and Generalized Hermite Dirichlet Kernel

Discrete Dynamics in Nature and Society, 2016
According to the characteristics that the kernel function of extreme learning machine (ELM) and its performance have a strong correlation, a novel extreme learning machine based on a generalized triangle Hermitian kernel function was proposed in this ...
Senyue Zhang, Wenan Tan
doaj   +1 more source

Landslide displacement prediction based on AdaBoost-PSO-ELM algorithm

Dianzi Jishu Yingyong, 2019
The process of landslides in mine dumps is a dynamic, large-delay, highly nonlinear characteristic problem. There are many factors affecting the landslide of mine dumps, and each characteristic index has mutual influence.
Zhang Xiaoming, Cao Guoqing, Chen Zengqiang, He Jiakang   +3 more
doaj   +1 more source

Development of an agricultural drought vulnerability index for risk assessment, insurance pricing, and disaster management through Google Earth engine

Discover Geoscience
This study presents an implementation of the Agricultural Drought Vulnerability Index (ADVI) using Google Earth Engine to assess drought vulnerability in semi-arid agricultural regions.
Shemin T John, Merin Susan Philip
doaj   +1 more source

Extreme learning machine based actuator fault detection of a quadrotor helicopter

Advances in Mechanical Engineering, 2017
Actuator fault might occur during quadrotor helicopter’s flight. It is a demand to detect actuator fault in real-time. An actuator fault detection method based on extreme learning machine is proposed.
Chen Li, Yu Zhang, Ping Li
doaj   +1 more source

Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system

FEBS Letters, EarlyView.
Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley   +1 more source

Digital image correlation and infrared thermography data for seven unique geometries of 304L stainless steel

Scientific Data
Material Testing 2.0 (MT2.0) is a paradigm that advocates for the use of rich, full-field data, such as from digital image correlation and infrared thermography, for material identification.
E. M. C. Jones, P. L. Reu, S. L. B. Kramer, A. R. Jones, J. D. Carroll, K. N. Karlson, D. T. Seidl, D. Z. Turner   +7 more
doaj   +1 more source

A Link Quality Estimation Method Based on Improved Weighted Extreme Learning Machine

IEEE Access, 2021
The link quality of wireless sensor networks is the basis for selecting communication links in routing protocols. Effective link quality estimation is helpful to select high-quality links for communication and to improve network stability.
Linlan Liu, Hui Lv, Jiangbo Xu, Jian Shu
doaj   +1 more source