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Academic Journal

Twin extreme learning machine based on heteroskedastic Gaussian noise model and its application in short-term wind-speed forecasting.

Authors : Zhang, Shiguang¹ (AUTHOR); Guo, Di² (AUTHOR) ; Zhou, Ting¹ (AUTHOR)

Source: Journal of Intelligent & Fuzzy Systems. 2023, Vol. 45 Issue 6, p11059-11073. 15p.

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Academic Journal

A progressive learning for structural tolerance online sequential extreme learning machine.

Authors : Sarutte Atsawaraungsuk¹ ; Wasaya Boonphairote² ; Kritsanapong Somsuk³

Source: Telkomnika. Oct2023, Vol. 21 Issue 5, p1039-1050. 12p.

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Academic Journal

A grid search optimized extreme learning machine approach for customer churn prediction.

Authors : Koçoğlu, Fatma Önay¹ ; Özcan, Tuncay²

Source: Journal of Engineering Research (2307-1877). Sep2023, Vol. 11 Issue 3, p1-10. 10p.

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Academic Journal

An integrated model based on deep kernel extreme learning machine and variational mode decomposition for day-ahead electricity load forecasting.

Authors : Yıldız, Ceyhun¹ (AUTHOR)

Source: Neural Computing & Applications. Sep2023, Vol. 35 Issue 25, p18763-18781. 19p.

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Academic Journal

Demand-Side Electricity Load Forecasting Based on Time-Series Decomposition Combined with Kernel Extreme Learning Machine Improved by Sparrow Algorithm.

Authors : Sun, Liyuan¹ (AUTHOR) ; Lin, Yuang² (AUTHOR) ; Pan, Nan³ (AUTHOR)

Source: Energies (19961073). Dec2023, Vol. 16 Issue 23, p7714. 16p.

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Academic Journal

Extreme Learning Machine (ELM) based Performance Analysis and Epilepsy Identification from EEG Signals.

Authors : Harikumar, R.¹ (AUTHOR) ; Ganesh Babu, C.¹ (AUTHOR) ; Gowri Shankar, M.¹ (AUTHOR)

Source: IETE Journal of Research. Sep2023, Vol. 69 Issue 9, p6304-6314. 11p.

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Academic Journal

GA-KELM: Genetic-Algorithm-Improved Kernel Extreme Learning Machine for Traffic Flow Forecasting.

Authors : Chai, Wenguang¹ (AUTHOR); Zheng, Yuexin¹ (AUTHOR); Tian, Lin² (AUTHOR)

Source: Mathematics (2227-7390). 8/15/2023, Vol. 11 Issue 16, p3574. 15p.

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Academic Journal

Extreme Learning Machine Using Improved Gradient-Based Optimizer for Dam Seepage Prediction.

Authors : Lei, Li¹ (AUTHOR); Zhou, Yongquan^1,2,3 (AUTHOR) ; Huang, Huajuan^1,3 (AUTHOR)

Source: Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ). Aug2023, Vol. 48 Issue 8, p9693-9712. 20p.

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Academic Journal

Hybrid extreme learning machine-based approach for IDS in smart Ad Hoc networks.

Authors : Liu, Bijian¹ (AUTHOR)

Source: EURASIP Journal on Wireless Communications & Networking. 12/20/2023, Vol. 2023 Issue 1, p1-16. 16p.

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Academic Journal

Modeling the magnetocaloric effect of spinel ferrites for magnetic refrigeration technology using extreme learning machine and genetically hybridized support vector regression computational methods.

Authors : Oke, Wasiu Adeyemi¹ (AUTHOR); Aldhafferi, Nahier² (AUTHOR); Saliu, Saibu³ (AUTHOR)

Source: Cogent Engineering. 2023, Vol. 10 Issue 2, p1-19. 19p.

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Twin extreme learning machine based on heteroskedastic Gaussian noise model and its application in short-term wind-speed forecasting.

A progressive learning for structural tolerance online sequential extreme learning machine.

A grid search optimized extreme learning machine approach for customer churn prediction.

An integrated model based on deep kernel extreme learning machine and variational mode decomposition for day-ahead electricity load forecasting.

Demand-Side Electricity Load Forecasting Based on Time-Series Decomposition Combined with Kernel Extreme Learning Machine Improved by Sparrow Algorithm.

Extreme Learning Machine (ELM) based Performance Analysis and Epilepsy Identification from EEG Signals.

GA-KELM: Genetic-Algorithm-Improved Kernel Extreme Learning Machine for Traffic Flow Forecasting.

Extreme Learning Machine Using Improved Gradient-Based Optimizer for Dam Seepage Prediction.

Hybrid extreme learning machine-based approach for IDS in smart Ad Hoc networks.

Modeling the magnetocaloric effect of spinel ferrites for magnetic refrigeration technology using extreme learning machine and genetically hybridized support vector regression computational methods.

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