Improved-Artificial-Fish-Swarm-Algorithm

快速掌握matlab的书籍.matlab实例编程一百个源程序(Quickly learn matlab books. Matlab source code examples of programming 100)

Triangle.m: 2D finite element model design tool

分析了支持向量回归机在能源需求预测中的优势,确定了输入向量集合和输出向量集合,建立了基于Matlab技术的SVR能源需求预测模型.对我国1985-2008年能源需求相关数据进行模拟与仿真,并对中国2010年和2020年能源需求量进行预测.研究结果表明:一是中国未来对能源的需求量逐渐增加,从2010年的330400万吨标准煤上升到2020年418320万吨标准煤,年均增长率为2.39％；二是在解决我国能源系统小样本.非线性及高维模式识别问题中SVR比BP神经网络等方法有更高的预测精度.(Support vector regression analyzes advantage in energy demand forecast to determine the set of input vectors and output vector set, established SVR energy demand forecasting model based on Matlab technology. Energy demand for our 1985-2008 related data modeling and simulation , and China in 2010 and 2020 energy demand forecast results show that: First, China s increasing demand for energy in the future, from 3.304 billion tons of standard coal in 2010 rose to 4.1832 billion tons of standard coal in 2020, average annual growth rate of 2.39 second is to solve our energy system small sample nonlinear and high dimensional pattern recognition problem SVR higher prediction accuracy than the BP neural network method.)

对于指纹图像,无论在频域或是在空域处理时,都要用到指纹的方向性信息,所以求取指纹方向图就显得格外重 要。求取指纹图像方向图的方法有很多种,文中列出了其中几种易于实现的算法。目的在于比较几种求取方向图的算法, 得到这几种方法的性能,以利于不同场合的要求。(good )

GTRACK Track mouse position and show coordinates in figure title. GTRACK Activates GTRACK. Once it is active the mouse position is constantly tracked and printed on the figure title. A left-click will print the coordinates in the command line and store them.

详细描述了关于几个同时说话人语音分离的情况，其中包括了原代码和测试语音，测试结果表明分离效果很好，能够区分不同人说话的语音，明显提高语音识别率。其中的参考论文在readme中。(A detailed description about several while speaking voice separate conditions, including the original code and test speech, test results show that the effect is very good separation between different people speak of speech recognition, obviously improved pronunciation. One of the reference in the readme.)

color images secment code matlab

这是TD算法的逆过程，首先将时间序列，划分为相邻点的短序列，当然此时的拟合误差为0，因为第一点和第二点的连线，原始点都落在线段上。将相邻两个线段连接起来，此时每条线段包含三个原始点，计算中间那个点的拟合误差。这样，所有这些三个点的线段中的中间点的拟合误差计算出来后，找出误差最小且误差小于阀值R的分段，作为第一条包含三个点的线段。 在上面的基础上，第一条分段同样的和相邻线段连接，然后计算每一条分段的拟合误差，再找出误差最小且小于阀值R的分段，作为第二个分段。依次方式循环，直到所有分段的拟合误差都小于阀值R，分段结束。 (This is the reverse process of TD algorithm, the first time series is divided into short sequences adjacent dots, of course fitting error is zero at this time, because the first and second points of connection, the original point fall line on. The two adjacent segments are connected, then each segment contains three original point, the intermediate fitting error calculated that point. Thus, after all these segments fitting error of three points in the intermediate point calculated to find the minimum error and the error is less than the threshold R segment, as the first line contains three points. Based on the above, the first segment and the adjacent line segment connecting the same, and then calculate a fitting error for each segment, and then find the smallest error and less than the threshold R segment, as the second segment . Followed by a cyclic manner until all segments fitting error is less than the threshold R, segment ends.)

Turbo编码 Matlab程序 以及另外一种编程方法(Turbo coding Matlab program and another programming method)

下垂控制下垂控制下垂控制下垂控制下垂控制下垂控制下垂控制(Drooping control droop control droop control droop control droop control droop control droop control)