Results 31 to 40 of about 8,140,064 (302)
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 +5 more
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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
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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
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Model selection for Extreme Minimal Learning Machine using sampling [PDF]
, 2019 A combination of Extreme Learning Machine (ELM) and Minimal Learning Machine (MLM)—to use a distance-based basis from MLM in the ridge regression like learning framework of ELM—was proposed in [8].
Kärkkäinen, Tommi
core +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
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Discover GeoscienceThis 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
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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 +3 more
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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
Scientific DataMaterial 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 +7 more
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Inverse-Matrix-Free Online Sequential Extreme Learning Machine
Jisuanji kexue yu tansuo, 2020 Since the existing inverse-matrix-free extreme learning machine (IF-ELM) only works well in batched way, this paper extends it into its inverse-matrix-free online sequential version called the inverse-matrix-free online sequential extreme learning ...
ZUO Pengyu, WANG Shitong
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