Search alternatives:
modeling algorithm » making algorithm (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
causal modeling » causal model (Expand Search), case modeling (Expand Search), spatial modeling (Expand Search)
complement c4d » complement c3 (Expand Search), complement c5 (Expand Search), complement _ (Expand Search)
c4d algorithm » cc3d algorithm (Expand Search), cnn algorithm (Expand Search), wsd algorithm (Expand Search)
modeling algorithm » making algorithm (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
causal modeling » causal model (Expand Search), case modeling (Expand Search), spatial modeling (Expand Search)
complement c4d » complement c3 (Expand Search), complement c5 (Expand Search), complement _ (Expand Search)
c4d algorithm » cc3d algorithm (Expand Search), cnn algorithm (Expand Search), wsd algorithm (Expand Search)
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Convergence curve of the DBO algorithm.
Published 2025“…The improved Dung Beetle Optimization algorithm, Back Propagation Neural Network, Finite Element Analysis, and Response Surface Methodology provide a strong guarantee for the selection of robot polishing process parameters. …”
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Element model generation method with geometric distribution errors
Published 2025“…The product surface geometric distribution error is directly attached to the element nodes of the product ideal element model using the error surface reconstruction method and the replacement algorithm of the element node vector height based on the product’s point cloud data. …”
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Algorithmic experimental parameter design.
Published 2024“…Furthermore, the estimation of the DOA can be accurately carried out under low signal-to-noise ratio conditions. This method effectively utilizes the degrees of freedom provided by the virtual array, reducing noise interference, and exhibiting better performance in terms of positioning accuracy and algorithm stability.…”
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Overview of the C&CG method.
Published 2025“…The model is solved iteratively using the column generation algorithm and strong duality theory. Case studies on a Northeast China power grid demonstrate that, by optimally configuring generation and storage capacity guided by flexibility and other indicators, the proposed method reduces curtailment/load shedding costs and system flexibility insufficiency probability by 45% and 4.3% respectively. …”