Monthly runoff prediction based on variational modal decomposition combined with the dung beetle optimization algorithm for gated recurrent unit model

Wen-Chao, Ban; Liang-Duo, Shen; Liang, Chen; Chu-Tian, Xu

doi:10.1007/s10661-023-12102-y

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2024

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Cited by 3 publications

References 25 publications

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A Novel Combined Model Integrating Twin Compensation and Dung Beetle Optimizer for Photovoltaic Power Prediction

Fu,

Qian,

Zeng

et al. 2024

Preprint

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A Novel Combined Model Integrating Twin Compensation and Dung Beetle Optimizer for Photovoltaic Power Prediction

Fu,

Qian,

Zeng

et al. 2024

Preprint

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A Novel Combined Model Integrating Twin Compensation and Dung Beetle Optimizer for Photovoltaic Power Prediction

Fu,

Qian,

Zeng

et al. 2024

Preprint

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Prediction of Tensile Properties in Inconel 625 Superalloy Fabricated by Wire Arc Additive Manufacturing Using Improved Artificial Neural Network

Xu,

Lu,

Chen

et al. 2024

Applied Sciences

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This study exhibits the possibility of using an artificial neural network (ANN) to model the mechanical behavior of wire arc additive manufacturing (WAAM) for Inconel 625. For this reason, tensile tests of Inconel 625 superalloy as-built (AB) samples and samples after heat treatment at 1200 °C (HT-1200) by WAAM were performed. For the HT-1200 samples, the yield stress decreased, and the elongation increased significantly due to grain refinement and the formation of annealed twins. A new hybrid model combining a swarm intelligence optimization algorithm with a back propagation neural network (BPNN) was developed to simulate the flow behavior of the superalloy. Compared with other hybrid BPNN models that have been reported, the proposed BPNN model is in better agreement with the experimental data and provides a better description of the flow stress of the Inconel 625 superalloy. The excellent predictive ability of the model may be attributed to the optimization of the weights and thresholds of the BPNN, which obtains the optimal global solution in the search space more efficiently.

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Monthly runoff prediction based on variational modal decomposition combined with the dung beetle optimization algorithm for gated recurrent unit model

Cited by 3 publications

References 25 publications

A Novel Combined Model Integrating Twin Compensation and Dung Beetle Optimizer for Photovoltaic Power Prediction

A Novel Combined Model Integrating Twin Compensation and Dung Beetle Optimizer for Photovoltaic Power Prediction

A Novel Combined Model Integrating Twin Compensation and Dung Beetle Optimizer for Photovoltaic Power Prediction

Prediction of Tensile Properties in Inconel 625 Superalloy Fabricated by Wire Arc Additive Manufacturing Using Improved Artificial Neural Network

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