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A novel stacking-based ensemble learning model for drilling efficiency prediction in earth-rock excavation
目的对钻进效率进行精确预测是制定土方开挖进度计划的关键。但现有预测方法多采用单个机器学**模型, 存在参数敏感性和过拟合等问题, 且往往忽略了环境因素和人员操作因素的影响。针对这些问题, 本文提出一种同时考虑多种因素综合影响的新的集成学**预测方法。
创新点1....
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A novel stacking-based ensemble learning model for drilling efficiency prediction in earth-rock excavation
目的对钻进效率进行精确预测是制定土方开挖进度计划的关键。但现有预测方法多采用单个机器学**模型，存在参数敏感性和过拟合等问题，且往往忽略了环境因素和人员操作因素的影响。针对这些问题，本文提出一种同时考虑多种因素综合影响的新的集成学**预测方法。
创新点1....
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Intelligent diagnosis for hot-rolled strip crown with unbalanced data using a hybrid multi-stage ensemble model
To improve the smart manufacturing capabilities of strip hot rolling, based on digital twin (DT) and cyber-physical system (CPS), this paper proposes...
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A Sarsa reinforcement learning hybrid ensemble method for robotic battery power forecasting
Building a rail transit workshop with efficient data interconnection has become an inevitable trend in the transformation and development of the...
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Efficient multi-material topology optimization design with minimum compliance based on ResUNet involved generative adversarial network
Topology optimization is a common approach for material distribution in continuous structure due to its rigorous mathematical theory. However, with...
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An enhanced hybrid ensemble deep learning approach for forecasting daily PM2.5
PM 2.5 forecasting technology can provide a scientific and effective way to assist environmental governance and protect public health. To forecast PM 2.5...
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Ensemble machine learning for predicting the homogenized elastic properties of unidirectional composites: A SHAP-based interpretability analysis
This study aims to develop an interpretable ensemble machine learning (EML) method for predicting the homogenized elastic properties of...
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Improved discrete-continuous parameterization method for concurrent topology optimization of structures and continuous material orientations
Concurrent topology optimization of structures and material orientations is a hot topic over the past decades. However, how to avoid the local optima...
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Numerical simulation on mechanisms of dense drilling for weakening roofs and its application in roof control
This study proposed a method of dense drilling that could induce the formation of a discontinuous surface to weaken the roof. According to the...
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Extracting useful high-frequency information from wide-field electromagnetic data using time-domain signal reconstruction
The wide-field electromagnetic method is widely used in hydrocarbon exploration, mineral deposit detection, and geological disaster prediction....
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Learning to inversely design acoustic metamaterials for enhanced performance
Elastic metamaterials are popularly sought to realize numerous special functions such as vibration control and wave manipulation among which sound...
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Application of genetic algorithm to enhance the predictive stability of BP-ANN constitutive model for GH4169 superalloy
In order to better characterize the plastic flow behavior of GH4169 superalloy, isothermal compression tests of GH4169 superalloy at different...
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Silane coupling agent treated copper foil as a current collector for silicon anode
Since the volume variation of silicon particles during cycling, the binding spots between Cu current collector and silicon anode raised to be one of...
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Two-step data-driven identification of probability densities for random vibrating systems with implicit Hamiltonian functions
Nonlinear random vibration is a common phenomenon, and predicting its probability density is an essential component of vibration engineering. This...
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Shaking table test on seismic response of an accumulation landslide reinforced by pile-plate retaining wall based on the time-frequency analysis method
The time-frequency analysis method based on Hilbert-Huang transform is proposed and used to the seismic response analysis of accumulation landslide...
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Rotation forest based on multimodal genetic algorithm
In machine learning, randomness is a crucial factor in the success of ensemble learning, and it can be injected into tree-based ensembles by rotating...
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Comprehensive utilization of spodumene ore through pyrometallurgical process with Fe2O3 addition
The carbothermal reduction process of spodumene ore effectively separates Al and Si components from spodumene ore while also extracting lithium (Li)....
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Role of oxides in the formation of hole defects in friction stir welded joint of 2519-T87 aluminum alloy
The role of oxides in the formation of hole defects in friction stir welded joint of 2519-T87 aluminum alloy has been investigated by using optical...
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IoT-enabled energy efficiency monitoring and analysis method for energy saving in sheet metal forming workshop
Sheet metal forming, as a typical energy-intensive process, consumes massive energy. Due to the significant difference between sheet metal forming...
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Rockburst prediction in hard rock mines develo** bagging and boosting tree-based ensemble techniques
Rockburst prediction is of vital significance to the design and construction of underground hard rock mines. A rockburst database consisting of 102...