Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Design Example: Maintaining Level of an Embankment01:19

Design Example: Maintaining Level of an Embankment

61
Constructing a roadway embankment over uneven terrain requires precise leveling to ensure stability and proper drainage. Surveyors use a leveling instrument and staff to calculate ground elevations and determine the required fill material at each point along the embankment alignment.The process begins by positioning a leveling instrument near a benchmark with a known elevation. A backsight reading establishes the instrument height, which serves as a reference for subsequent measurements. A...
61
Quarrying of Stone01:15

Quarrying of Stone

113
Quarrying is the process of extracting stone from a quarry, where specialized techniques are employed to remove large blocks of stone safely and efficiently. This process can involve controlled explosions or more precision-oriented methods such as cutting and drilling.
One common method involves using a diamond belt saw to cut large blocks from the quarry face. These blocks can be about 50 feet long and 12 feet high. After the initial vertical cut, drilling is performed at the base of the...
113
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

53
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
53

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Effects of type and thickness of joint infill materials on gamma radiation attenuation in rock masses: experimental and numerical investigations.

Scientific reports·2026
查看所有相关文章

相关实验视频

Updated: Jun 28, 2025

A Uniaxial Compression Experiment with CO2-Bearing Coal Using a Visualized and Constant-Volume Gas-Solid Coupling Test System
10:27

A Uniaxial Compression Experiment with CO2-Bearing Coal Using a Visualized and Constant-Volume Gas-Solid Coupling Test System

Published on: June 12, 2019

8.7K

在煤矿采矿中使用机器学习模型和优化技术预测土地沉降情况.

Shirin Jahanmiri1, Majid Noorian-Bidgoli2

  • 1Department of Mining Engineering, University of Kashan, Kashan, Iran.

Environmental science and pollution research international
|April 19, 2024
PubMed
概括

在煤矿开采中准确地预测土地沉降,使用一种新的基因表达编程 (GEP) 模型进行了改进. 该方法使用人工蜂群 (ABC) 算法进行了优化,提高了从地下资源开采中预测表面变形的准确性.

关键词:
煤炭开采 煤炭开采是指煤炭的开采方式.混合进化算法 混合进化算法优化优化 优化优化灵敏度分析是一种灵敏度分析.在此之前,我一直在研究Subsidence.

更多相关视频

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
08:27

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

Published on: January 5, 2024

1.1K
Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images
14:08

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

Published on: April 13, 2013

42.6K

相关实验视频

Last Updated: Jun 28, 2025

A Uniaxial Compression Experiment with CO2-Bearing Coal Using a Visualized and Constant-Volume Gas-Solid Coupling Test System
10:27

A Uniaxial Compression Experiment with CO2-Bearing Coal Using a Visualized and Constant-Volume Gas-Solid Coupling Test System

Published on: June 12, 2019

8.7K
Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
08:27

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

Published on: January 5, 2024

1.1K
Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images
14:08

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

Published on: April 13, 2013

42.6K

科学领域:

  • 地质技术工程 地质技术工程
  • 环境科学 环境科学
  • 计算智能是一种计算智能.

背景情况:

  • 地下沉是地下资源开采造成的重大环境危害.
  • 准确的沉降预测对于减轻矿区表面结构损坏至关重要.
  • 现有的模型往往缺乏精确沉降估计所需的综合参数考虑.

研究的目的:

  • 开发和验证一个改进的煤炭开采土地沉降预测模型,特别是使用长壁方法.
  • 通过结合广泛的地质和采矿参数来提高沉降预测的准确性.
  • 用先进的计算技术研究各种参数对沉降的影响.

主要方法:

  • 利用基因表达编程 (GEP) 进行沉降预测建模.
  • 使用混合方法将人工蜂群 (ABC) 和狮优化器 (ALO) 算法结合起来,优化了GEP算法.
  • 收集和分析了14个煤矿的数据,考虑了11个关键参数,这些参数与采矿和超负荷属性有关.

主要成果:

  • 用ABC算法优化的GEP模型实现了最高的预测准确性,相关系数为0.96.
  • 灵敏度分析表明,采矿深度对土地沉降的影响最大.
  • 发现过载密度对研究煤矿沉降预测的影响最小.

结论:

  • 混合GEP-ABC模型提供了一种高度准确和可靠的方法,用于预测长壁煤矿的土地沉降情况.
  • 该研究强调了采矿深度和超负荷特性在沉降现象中的关键作用.
  • 这项研究为在容易沉降的采矿地区的风险评估和管理提供了有价值的工具.