Oct 1, 2022 · This paper presents a system aimed at improving the accuracy of a low-cost temperature sensor using a hybrid machine learning algorithm.
This paper presents a system aimed at improving the accuracy of a low-cost temperature sensor using a hybrid machine learning algorithm. The system utilizes a ...
Heterogeneous hybrid extreme learning machine for temperature sensor accuracy improvement ... Authors: Vasileios Christou; Kyriakos Koritsoglou; Georgios Ntritsos ...
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In this paper, a hybrid learning approach, which combines the extreme learning machine (ELM) with a genetic algorithm (GA), is proposed.
Abstract: This paper presents a hybrid algorithm for the creation of heterogeneous single layer neural networks (SLNNs). The proposed self-adaptive ...
Heterogeneous hybrid extreme learning machine for temperature sensor accuracy improvement · Engineering, Computer Science. Expert systems with applications · 2022.
Heterogeneous hybrid extreme learning machine for temperature sensor accuracy improvement. V Christou, K Koritsoglou, G Ntritsos, G Tsoumanis, MG Tsipouras ...
Aug 23, 2023 · The experimental results show that calibration using the ANN improved the accuracy of the temperature sensors. Compared with traditional linear ...
The experimental results show that calibration using the ANN improved the accuracy of the temperature sensors. Compared with traditional linear regression and ...
[PDF] Evolutionary Higher-Order Extreme Learning Machine - MEGATRON
megatron.project.uoi.gr › 2024/04
Heterogeneous hybrid extreme learning machine for temperature sensor accuracy improvement. Expert Systems with Applications, 203, 117488. Christou, V ...