基于BP神经网络的煤与瓦斯突出预测系统开发

煤与瓦斯突出影响因素多,难以为其建立合适的多指标非线性预测模型,为提高突出预测的准确性和增强预测预报方法的实用性,采用改进的BP算法建立煤与瓦斯突出预测数学模型。通过研究不同算法的突出预测效果,对已建模型的泛化能力进行检验,利用Matlab GUI和神经网络工具箱设计开发煤与瓦斯突出预测系统,通过向系统输入已知的突出样本数据,经过学习、训练,实现对未知参数的预测。仿真结果表明:网络在训练300次后,误差训练曲线的均方差(MSE)可以达到10-15,实际预测误差也小于0.1,系统得到的5组数据预测结果与实际情况相符。     

基于MATLAB GUI的土壤质地类型自动识别系统

土壤质地类型反映了不同粒径颗粒在土壤中的分布,是土壤的最基本性质之一,直接影响土壤中水、气、热和溶质的迁移特征,因此确定土壤质地类型是土壤调查中最基础的工作.我国常用的土壤质地分类标准有美国制、国际制、卡庆斯基制和中国制标准,其中美国制和国际制土壤质地分类需借助平面三角坐标系来确定,不利于批量土壤样品的土壤质地分类.现...     

基于GIS的东辽河流域水环境信息管理

在充分搜集东辽河流域水环境信息的基础上,采用先进的MAPGIS平台,完成了数据库、图形库、专业属性库的编辑,完满地实现了东辽河流域水环境信息的动态化管理。      

On-chip waste heat-driven absorption cooling system for sustainable data center environment: simulation

Development of waste heat-driven absorption-based cooling system is inspired for the need of removing high heat flux from the sustainable data centre environment. This paper presents a simulation study of single-stage Lithium Bromide–Water (LiBr–H₂O) vapour absorption heat pump for chip cooling. In the present work, a complete thermodynamic analysis of the single-stage LiBr–H₂O vapour absorption-based heat pump for chip cooling without a solution heat exchanger is performed and a user friendly graphical user interface (GUI) package including visual components is developed by using MATlab (2008b). The effect of chip heat flux on COP (Coefficient of Performance), flow rates and conductance is examined using the developed package. The model is verified using the data available in the literature which indicates that there is a greater reduction in the absorber load. The influence of chip heat flux on the performance and thermal loads of individual components are studied, and it is concluded that COP decreases from 0.7121 to 0.68924 with increase in chip heat flux.     

基于Monte Carlo与Markov法参数不确定性条件下SIL评估

为了避免由参数不确定性因素导致较大的Markov法SIL评估偏差,且减少计算工作量和复杂性,采用Monte Carlo（MC）仿真方法处理含不确定性参数的Markov模型,并借助Matlab GUI编程开发MC仿真处理参数不确定性条件下Markov法SIL评估可视化仿真计算软件。在理论研究的基础上,为说明该研究方法与计算软件的可行性,以石油天然气工业高完整性压力保护系统（HIPPS）为算例进行SIL评估。结果表明:MC仿真方法可以有效处理Markov法SIL评估中参数不确定性问题;基于Matlab GUI编程设计出的仿真计算软件在一定程度上可以提高计算效率。