fastness
发表于 2025-3-28 14:45:45
Reply: Cobb on Ultimate Realityed parameter optimization and estimation methods, such as the gradient-based methods (e.g., gradient descend, Newton method, and conjugate gradient method) and the intelligent optimization ones (e.g., genetic algorithm, differential evolution algorithm, and particle swarm optimization). In particula
一个搅动不安
发表于 2025-3-28 22:12:19
https://doi.org/10.1007/978-1-349-20327-7ce a production process usually requires real-time responses. The commonly used method to accelerate the training process is to develop a parallel computing framework. In literature, two kinds of popular methods speeding up the training involves the one with a computer equipped with graphics process
DEAF
发表于 2025-3-29 02:49:45
https://doi.org/10.1007/978-1-349-20327-7ted to the optimal scheduling for energy system in steel industry based on the prediction outcomes. As for the by-product gas scheduling problem, a two-stage scheduling method is introduced here. On the prediction stage, the states of the optimized objectives, the consumption of the outsourcing natu
PHAG
发表于 2025-3-29 04:22:17
Data-Driven Prediction for Industrial Processes and Their Applications978-3-319-94051-9Series ISSN 2510-1528 Series E-ISSN 2510-1536
种子
发表于 2025-3-29 09:39:59
https://doi.org/10.1007/978-3-319-94051-9industrial time series prediction; prediction intervals for industrial data; long term prediction for
Psa617
发表于 2025-3-29 12:57:16
978-3-030-06785-4Springer International Publishing AG, part of Springer Nature 2018
Nomogram
发表于 2025-3-29 15:51:41
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RENIN
发表于 2025-3-29 22:11:51
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