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Augmented physics informed extreme learning machine to solve the biharmonic equations via Fourier expansions
Arxiv
0+阅读 · 11月5日
Comparative Study on Semi-supervised Learning Applied for Anomaly Detection in Hydraulic Condition Monitoring System
Arxiv
0+阅读 · 11月3日
Assessing Quantum Extreme Learning Machines for Software Testing in Practice
Arxiv
0+阅读 · 10月20日
Assessing Quantum Extreme Learning Machines for Software Testing in Practice
Arxiv
0+阅读 · 10月25日
Trans-Bifurcation Prediction of Dynamics in terms of Extreme Learning Machines with Control Inputs
Arxiv
0+阅读 · 10月17日
Augmented physics informed extreme learning machine to solve the biharmonic equations via Fourier expansions
Arxiv
0+阅读 · 10月22日
On fundamental aspects of quantum extreme learning machines
Arxiv
0+阅读 · 9月27日
Performance Level Evaluation Model based on ELM
Arxiv
0+阅读 · 9月3日
ELM-FBPINN: efficient finite-basis physics-informed neural networks
Arxiv
0+阅读 · 9月3日
Impact of Financial Literacy on Investment Decisions and Stock Market Participation using Extreme Learning Machines
Arxiv
0+阅读 · 7月13日
A Critical Analysis of the Theoretical Framework of the Extreme Learning Machine
Arxiv
0+阅读 · 6月25日
Extremization to Fine Tune Physics Informed Neural Networks for Solving Boundary Value Problems
Arxiv
0+阅读 · 6月7日
Solving Partial Differential Equations with Equivariant Extreme Learning Machines
Arxiv
0+阅读 · 5月24日
Predicting PDEs Fast and Efficiently with Equivariant Extreme Learning Machines
Arxiv
0+阅读 · 5月9日
Predicting PDEs Fast and Efficiently with Equivariant Extreme Learning Machines
Arxiv
0+阅读 · 4月29日
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