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自适应神经网络在确定落煤残存瓦斯量中的应用
- 落煤残存瓦斯量的确定是采掘工作面瓦斯涌出量预测的重要环节,它直接影响着采掘工作面瓦斯涌出量预测的精度,并与煤的变质程度、落煤粒度、原始瓦斯含量、暴露时间等影响因素呈非线性关系。人工神经网络具有表示任意非线性关系和学习的能力,是解决复杂非线性、不确定性和时变性问题的新思想和新方法。基于此,作者提出自适应神经网络的落煤残存瓦斯量预测模型,并结合不同矿井落煤残存瓦斯量的实际测定结果进行验证研究。结果表明,自适应调整权值的变步长BP神经网络模型预测精度高,收敛速度快 该预测模型的应用可为采掘工作面瓦斯涌
black_oil_model
- 黑油模型用fortan编译，它最开始用于石油工业中多相流体计算；近年来也广泛用于煤层气的开采和地下水污染物运移的计算。-Black oil model using fortan compile, it is most used in the petroleum industry began in the calculation of multiphase fluid in recent years, widely used in coal-bed methane mining and grou
peimei3
- 基于最小二乘法的自动配煤系统设计。设计的原理为：根据煤的灰分、水分、硫分，利用最小二乘法解矛盾方程的思想，计算出三种煤的配比。-Least square method based on the automatic blending system design. Design principles: In accordance with coal ash, moisture, sulfur, using least squares solution of the contradictions of
danchunxing
- 单纯形法在自动配煤系统中的应用。以配煤价格为目标，灰分、水分、硫分为约束条件，求解最优配比。由于方程具有通用性，也可用于其他行业。-Simplex method in the automatic blending system. Coal prices in the objective, ash, moisture, sulfur is divided into constraints, solving the optimal ratio. Since the equation has the
Por
- forward处理程序,使用于煤炭、油气工业-forward processing procedures used in coal, oil and gas industry
Class
- forward处理程序，使用于煤炭、石油天然气行业-forward processing procedures used in the coal, oil and gas industry
Protn
- forward处理程序，使用于煤炭、石油、天然气行业-forward processing procedures used in coal, oil, gas industry
Cra
- forward处理程序，使用于煤炭、石油、天然气行业-forward processing procedures used in coal, oil, gas industry
wsnwithns
- 无线传感器网络在煤矿中的仿真设计 提供了一种监控系统模型以及传感器网络的结构，并且对传感器网络的拓扑控制技术进行了研究及仿真。-Wireless sensor network simulation in the coal mine design a monitoring system model and the structure of sensor networks and sensor network topology control technology research and simu
lutianmeikuang
- 解决露天煤矿的问题，是数学建模中的考试题目。-Solve the coal mine of the problem is mathematical modeling of the exam questions.
electronwave
- 主要用来计算平面电磁波在分层煤质中的传播，适合搞电磁计算的科研人员，学生等-Mainly used to calculate the plane wave propagation in layered coal, suitable electromagnetic computing researchers, students, etc.
Rouat
- 粗糙集神经网络燃煤发热量预测模型Rough set neural network prediction model coal-fired heat-Rough set neural network prediction model coal-fired heat
34354em
- 专家系统的煤矿安全监测监控系统Expert System for Coal Mine Safety Monitoring and Control System-Expert System for Coal Mine Safety Monitoring and Control System
cn
- 一些关于瓦斯爆炸的论文，高温下Q345钢的材料性能试验研究，煤矿井下瓦斯爆炸的基本特性，瓦斯爆炸动力学特征参数的测定及其分析，瓦斯爆炸运动火焰生成压力波的数值模拟-Some papers on the gas explosion, Q345 steel under high temperature performance test of the material, coal mine gas explosion the basic characteristics of the gas explo
coal
- 标准曲线法测定煤中自由基含量Standard curve method for the determination of free radicals content in coal-Standard curve method for the determination of free radicals content in coal
sadfas
- 电厂优化配煤专家系统的研究与开发.Power plant optimization coal blending expert system research and development.-Power plant optimization coal blending expert system research and development.
BP-PSO
- 本文提出了基于粒子群算法( PSO )的E lm an神经网络混合优化策略, 采用PSO 优化 连接权值来训练神经网络, 与标准BP算法相比, PSO 采用实数编码, 结构简单, 学习收敛快-The PSO-BP-based Forecast of Logistics Cost for Coal Enterprises
u3vw1x.ZIP
- 基于CAN和WSNs的井下皮带机打滑保护监测系统研究Based on the CAN and WSNs coal mine strap skid protecting and monitoring system based on-Based on the CAN and WSNs coal mine strap skid protecting and monitoring system based on
coal-excavate
- FLAC3D 煤矿开挖命令流，适合于煤矿开挖处理-FLAC3D mine excavation command stream, suitable for handling coal excavation
coal-combustion-----simulation-
- 一个采用数值模拟来计算煤粉燃烧时各参数情况的经典算例，附件文件可直接用FLUENT打开，附件中并且有计算结果截图，供学习参考用-A numerical simulation to calculate the parameters of the classic case study during coal combustion, file attachments can be opened directly using FLUENT, and there annex calculations sc