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Enhancing rock fragmentation prediction in mining operations:A hybrid GWO-RF model with SHAP interpretability 被引量:1
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作者 ZHANG Yu-lin QIU Yin-gui +2 位作者 ARMAGHANI Danial Jahed MONJEZI Masoud ZHOU Jian 《Journal of Central South University》 SCIE EI CAS CSCD 2024年第8期2916-2929,共14页
In the mining industry,precise forecasting of rock fragmentation is critical for optimising blasting processes.In this study,we address the challenge of enhancing rock fragmentation assessment by developing a novel hy... In the mining industry,precise forecasting of rock fragmentation is critical for optimising blasting processes.In this study,we address the challenge of enhancing rock fragmentation assessment by developing a novel hybrid predictive model named GWO-RF.This model combines the grey wolf optimization(GWO)algorithm with the random forest(RF)technique to predict the D_(80)value,a critical parameter in evaluating rock fragmentation quality.The study is conducted using a dataset from Sarcheshmeh Copper Mine,employing six different swarm sizes for the GWO-RF hybrid model construction.The GWO-RF model’s hyperparameters are systematically optimized within established bounds,and its performance is rigorously evaluated using multiple evaluation metrics.The results show that the GWO-RF hybrid model has higher predictive skills,exceeding traditional models in terms of accuracy.Furthermore,the interpretability of the GWO-RF model is enhanced through the utilization of SHapley Additive exPlanations(SHAP)values.The insights gained from this research contribute to optimizing blasting operations and rock fragmentation outcomes in the mining industry. 展开更多
关键词 BLASTING rock fragmentation random forest grey wolf optimization hybrid tree-based technique
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基于深度卷积神经网络的水稻田杂草识别研究 被引量:17
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作者 彭文 兰玉彬 +5 位作者 岳学军 程子耀 王林惠 岑振钊 卢杨 洪金宝 《华南农业大学学报》 CAS CSCD 北大核心 2020年第6期75-81,共7页
【目的】利用深度卷积神经网络对水稻田杂草进行准确、高效、无损识别,得出最优的网络模型,为水稻田种植管理以及无人机变量喷施提供理论依据。【方法】以水稻田杂草为主要研究对象,利用CCD感光相机采集杂草图像样本,构建水稻田杂草数据... 【目的】利用深度卷积神经网络对水稻田杂草进行准确、高效、无损识别,得出最优的网络模型,为水稻田种植管理以及无人机变量喷施提供理论依据。【方法】以水稻田杂草为主要研究对象,利用CCD感光相机采集杂草图像样本,构建水稻田杂草数据集(PFMW)。利用多种结构的深度卷积神经网络对PFMW数据集进行特征的自动提取,并进行建模与试验。【结果】在各深度模型对比试验中,VGG16模型取得了最高精度,其在鬼针草、鹅肠草、莲子草、千金子、鳢肠和澎蜞菊6种杂草中的F值分别为0.957、0.931、0.955、0.955、0.923和0.992,其平均F值为0.954。在所设置的深度模型优化器试验中,VGG16-SGD模型取得了最高精度,其在上述6种杂草中的F值分别为0.987、0.974、0.965、0.967、0.989和0.982,其平均F值为0.977。在PFMW数据集的样本类别数量均衡试验中,无失衡杂草数据集训练出来的VGG16深度模型的准确率为0.900,而16.7%、33.3%和66.6%类别失衡的数据集训练的模型准确率分别为0.888、0.866和0.845。【结论】利用机器视觉能够准确识别水稻田杂草,这对于促进水稻田精细化耕作以及无人机变量喷施等方面具有重要意义,可以有效地协助农业种植过程中的杂草防治工作。 展开更多
关键词 视觉 稻田杂草 深度卷积神经网络 模型优化器
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Virtual reality approach for 3D large model browsing on web site 被引量:1
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作者 郭葆锋 《Journal of Chongqing University》 CAS 2005年第3期129-133,共5页
Using virtual reality for interactive design gives a designer an intuitive vision of a design and allows the designer to achieve a viable, optimal solution in a timely manner. The article discusses the process of maki... Using virtual reality for interactive design gives a designer an intuitive vision of a design and allows the designer to achieve a viable, optimal solution in a timely manner. The article discusses the process of making the Virtual Reality System of the Humble Administrator’s Garden. Translating building data to the Virtual Reality Modeling Language (VRML) is by far unsatisfactory. This creates a challenge for computer designers to do optimization to meet requirements. Five different approaches to optimize models have been presented in this paper. The other methods are to optimize VRML and to reduce the file size. This is done by keeping polygon counts to a minimum and by applying such techniques as object culling and level-of- detail switching. 展开更多
关键词 virtual reality 3D modeling OPTIMIZATION
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Remote sensing Extraction model of redtide biomass by airborne hyperspectral technique
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作者 MA Yi ZHANG Jie CUI Ting-wei 《Optoelectronics Letters》 EI 2006年第1期58-62,共5页
Our work is based on the known research results of inherent optical quality of ocean color constituents.According to optimized parameters and induced fluorescence term of chlorophyll, this paper puts forward a remote ... Our work is based on the known research results of inherent optical quality of ocean color constituents.According to optimized parameters and induced fluorescence term of chlorophyll, this paper puts forward a remote sensing reflectance model of sea water, which is fitted in Liaodong Bay of Bohai. An inverse model that can evaluate redtide biomass according to chlorophyll retrieval is provided by inducing a functional extreme problem. The calculation example of the model indicates that the inversion model has explicit mathematic and physical meaning, but its practicability needs to be verified. 展开更多
关键词 细微传感模型 生物量 光传感 优化参数 荧光性
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Novel photocatalytic reactor for degradation of DDT in water and its optimization model 被引量:1
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作者 Wei-hai PANG Nai-yun GAO +1 位作者 Yang DENG Yu-lin TANG 《Journal of Zhejiang University-Science A(Applied Physics & Engineering)》 SCIE EI CAS CSCD 2009年第5期732-738,共7页
A novel photocatalytic reactor was developed to remove (1,1-bis(4-chlorophenyl)-2,2,2-trichloroethane) (DDT) from water. In the reactor, a cenosphere was used to support TiO2 film made by means of sol-gel. Becau... A novel photocatalytic reactor was developed to remove (1,1-bis(4-chlorophenyl)-2,2,2-trichloroethane) (DDT) from water. In the reactor, a cenosphere was used to support TiO2 film made by means of sol-gel. Because the cenospheres were coated with TiO2, their specific gravity was slightly increased from the original 0.6-0.8 to 0.8-0.9, so that they were able to be suspended in water. With the mixed operation of a bubbler, the water in the reactor was in a well-fluidized state. The bottom of the reactor is a sand filter bed, which can be used to prevent the photocatalyst from being lost. A mathematical model of the reactor has been developed in the two primary influential factors: ultraviolet (UV) light intensity and photocatalyst concentration. With such a model, the reactor can be designed more reasonably. 展开更多
关键词 Photocatalytic reactor Persistent organic pollutants (POPs) Reactor model
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