session2

这里介绍的案例研究演示如何使用MATLAB来建立测量的燃气经营权，在新英格兰的植物组合相关的风险的申请。在Excel中的应用与实施用MATLAB进行了分析所有的接口。该应用程序允许用户指定的7种植物，包括能力，热率，可变操作和维护成本，最低运行时的特点。这个组合可以用一个简单的调度backtested历史天然气和电力价格的策略来计算利润和机组运行的历史数据。风险措施，通过模拟计算到使用天然气和混合模型在MATLAB中实现，模拟市场价格为每调度方案和计算现金流量从厂房的运作产生未来的电力价格。该现金流量的分布进行分析，产生了90％和95％的现金流量在风险衡量每个工厂以及用于发电资产组合。这些功能全部是提出了一个简洁的Excel的前端。 题为“介绍ETRM为例”的文件将指导，通过分析不同的组件。(The case study presented here demonstrates using MATLAB to build an application for measuring the risks associated with a portfolio of gas-fired power plants operated in New England. The application has an interface implemented in Excel with all of the analytics performed by MATLAB. The application allows the user to specify the characteristics of the 7 plants including the capacity, heat rate, variable operation and maintenance costs and minimum run time. This portfolio can be backtested using a simple dispatch strategy on historical gas and electricity prices to compute historical profit and plant operation statistics. The risk measures are computed by simulating gas and electricity prices into the future using a hybrid model implemented in MATLAB, simulating the dispatch for each scenario of market prices and computing cash-flows arising from the operation of the plants. The distribution of the cash-flows is analyzed to produce a 90 and 95 cash-flow at risk measure for each plant )

为了创造一个和谐的，有序的电磁环境，需要对无线电干扰有正确的了解，利用MATLAB软件对通信过程中可能出现的无线电干扰进行了仿真(In order to create a harmonious and orderly electromagnetic environment, the need for a proper understanding of radio interference, using MATLAB software, communications may occur during a simulation of radio interference)

说明：  我把以前写的 C# 版的Rose 共享出来供别人学习参考。很具有学习参考价值主要涉及 GDI+ ,软件架构，和界面。对初学者很有帮助(I have previously written in C# Version of Rose shared out for others to learn from the reference. With learning reference value is mainly related to GDI+, Software architecture, and interface. Very helpful for beginners)

说明：  遗传算法改进的模糊C-均值聚类MATLAB源码.模糊C-均值算法容易收敛于局部极小点，为了克服该缺点，将遗传算法应用于模糊C-均值算法(FCM)的优化计算中，由遗传算法得到初始聚类中心，再使用标准的模糊C-均值聚类算法得到最优分类结果。(Improved genetic algorithm Fuzzy C-Means Clustering MATLAB source. Fuzzy C-means algorithm converges to local minimum easily, in order to overcome the shortcomings, the genetic algorithm used fuzzy C-means algorithm (FCM) in the optimization calculation, the The initial cluster centers of genetic algorithm, then using the standard fuzzy C-means clustering algorithm to obtain the optimal classification results.)

this calculates motion compensated image

Linear Programlama, matlab uygulama

利用matlab对齿轮箱3种状态进行HMM模型建立及测试，已调试好，可直接运行。(Use matlab gearbox three kinds state HMM modeling and testing, debugging, and can be run directly.)

matlab problem set digital signal processing mitra

MATLAB数字图像处理灰度均匀化gray uniformization(gray uniformization)

routing algorithm in wireless network