An improved extreme learning machine algorithm for transient electromagnetic nonlinear inversion

Li, Ruiheng; Zhang, Huaiqing; Gao, Shiqi; Wu, Zhao; Guo, Chunxian

doi:10.1016/j.cageo.2021.104877

Cited by 14 publications

(5 citation statements)

References 41 publications

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“…First of all, to avoid the problem of biased regression results brought about by the problem of multicollinearity [33], the corresponding test must first be performed on the collated sample data. The most direct and effective method is to use the variance inflation factor (VIF) method for the test [34]. The following information can be found: none of the selected explanatory variables has a VIF above 10 and their mean does not exceed 5.…”

Section: Results and Analysismentioning

confidence: 99%

Regional differentiation in influencing factors of clean renewable energy consumption from the perspective of air pollution prevention and control

Zhan

2023

3C Tecnología

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Global economic growth is now increasingly conflicting with the sustainable development strategy. In the context of ecological environmental preservation and air pollution prevention and control, this paper probes into the regional differentiation in the influencing factors of clean renewable energy consumption. First and foremost, a brief analysis of the status quo of clean renewable consumption in China was outputted, grounded on data on the input and output of 30 provinces and cities nationwide from 2010 to 2020. Then, national and regional models are built respectively in virtue of differential GMM, systematic GMM, and bias-corrected LSDV methods. Furthermore, efforts were invested in dissecting the working mechanism of the influencing factors and verifying the previous prediction resulting in applying the Tobit regression method. For every 1% increase in the green finance index, the clean renewable energy consumption rises by 0.882 accordingly, said the regression analysis results. Last but not least, it was concluded that the development level of green finance, internet advance, and technological progress significantly positively affected clean renewable energy consumption. While the industrial structure, the degree of openness, and the level of urbanization represented by the proportion of the secondary industry play hardly-seen impact.

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Section: Results and Analysismentioning

confidence: 99%

Regional differentiation in influencing factors of clean renewable energy consumption from the perspective of air pollution prevention and control

Zhan

2023

3C Tecnología

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“…Based on fractal dimension technology, Li et al [ 13 ] suggested an enhanced ELM algorithm (F-ELM). By reducing the dimension of the hidden layer, the model improves in training speed.…”

Section: Related Workmentioning

confidence: 99%

“…In our method, SVM, ELM, and IELM based on the PCA technique are employed for image classification [ 14 ] for COVID-19 patient detection using the COVID-19 chest X-ray dataset. A summary of the most recent and related research works is described in Table 1 [ 3 , 5 – 13 ].…”

Section: Related Workmentioning

confidence: 99%

PCA-Based Incremental Extreme Learning Machine (PCA-IELM) for COVID-19 Patient Diagnosis Using Chest X-Ray Images

Kumar

Biswas

Rajput

et al. 2022

Computational Intelligence and Neuroscience

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Novel coronavirus 2019 has created a pandemic and was first reported in December 2019. It has had very adverse consequences on people's daily life, healthcare, and the world's economy as well. According to the World Health Organization's most recent statistics, COVID-19 has become a worldwide pandemic, and the number of infected persons and fatalities growing at an alarming rate. It is highly required to have an effective system to early detect the COVID-19 patients to curb the further spreading of the virus from the affected person. Therefore, to early identify positive cases in patients and to support radiologists in the automatic diagnosis of COVID-19 from X-ray images, a novel method PCA-IELM is proposed based on principal component analysis (PCA) and incremental extreme learning machine. The suggested method's key addition is that it considers the benefits of PCA and the incremental extreme learning machine. Further, our strategy PCA-IELM reduces the input dimension by extracting the most important information from an image. Consequently, the technique can effectively increase the COVID-19 patient prediction performance. In addition to these, PCA-IELM has a faster training speed than a multi-layer neural network. The proposed approach was tested on a COVID-19 patient’s chest X-ray image dataset. The experimental results indicate that the proposed approach PCA-IELM outperforms PCA-SVM and PCA-ELM in terms of accuracy (98.11%), precision (96.11%), recall (97.50%), F1-score (98.50%), etc., and training speed.

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“…The electromagnetic effect [1] is an effect of the interaction of an electromagnetic field with a deformation field. In the linear range, there are various models for dielectric and conducting objects [2][3][4][5]. In recent years, such theories have been named coupled field theory [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Joint Resonance Analysis in Multiple Modes of Soft Ferromagnetic Rectangular Thin Plate

Kang,

Wang,

Lei

et al. 2024

TECM

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In this article, the nonlinear principal and internal resonance properties of a soft ferromagnetic rectangular thin plate are investigated in a magnetic field environment. The nonlinear partial differential equation of motion of a soft ferromagnetic rectangular thin plate is derived under the effect of homogeneous simple harmonic excitation. The system of nonlinear differential equations with multiple degrees of freedom is established by the assumed one-sided fixed trilateral simply support condition using the Galerkin’s method. The system of nonlinear differential equations is solved by the multiscale method to obtain the response of two modes under the simple harmonic force at the principal and internal resonance. The numerical results of the system response show that when the frequency of the simple harmonic force is close to one of the modes (first-order or second-order mode) causing it to resonate, the other mode will also resonate internally. The magnetic field can have an inhibiting effect on the resonant response of the system and also affect the kinematic state of the system. The internal resonance provides a mechanism for transferring energy from a high mode to a lower mode.

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An improved extreme learning machine algorithm for transient electromagnetic nonlinear inversion

Cited by 14 publications

References 41 publications

Regional differentiation in influencing factors of clean renewable energy consumption from the perspective of air pollution prevention and control

Regional differentiation in influencing factors of clean renewable energy consumption from the perspective of air pollution prevention and control

PCA-Based Incremental Extreme Learning Machine (PCA-IELM) for COVID-19 Patient Diagnosis Using Chest X-Ray Images

Joint Resonance Analysis in Multiple Modes of Soft Ferromagnetic Rectangular Thin Plate

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