EE536-notes-2

这个程序主要是应用在图论中来解决哈密顿回路问题 是比较常见的(This procedure is mainly used in graph theory to solve the Hamiltonian circuit problem is more common)

通过画出概率密度的的分布曲线，得到节点位置。(Through the draw probability density distribution curve, to be the node location.)

MSER code from Vedaldi

说明：  机械优化设计黄金分割法和三次插值法，适用于无约束一维极值问题(Optimal Design of Mechanical golden section method and the cubic interpolation method, applied to non-binding one-dimensional extremum problem)

matlab要求编写函数，并画出图的matlab习题，供大家参考(prepared Matlab functions, and draws a plan of Matlab Exercise, for your reference! !)

this file pakage arfima for matlab that help you to programing matlab if you wannt extension your arma or arima program

BP神经网络预测公路运量 1.问题的描述 公路运量主要包括公路的客运量和公路货运量两个方面。据研究，某地区的公路运量主要与该地区的人数、机动车数量和公路面积有关，表1给出了20年得公路运量相关数据，表中人数和公路客运量的单位为万人，机动车数量单位为万两，公路面积的单位为万平方千米，公路货运量单位为万吨。 根据有关部门数据，该地区2010年和2011年的人数分别为73.39和75.55万人，机动车数量分别为3.9635和4.0975万辆，公路面积将分别为0.9880和1.0268万平方米。请利用BP神经网络预测该地区2010年2011年得公路客运量和公路货运量。 (BP neural network to predict the road traffic (1) description of the problem of road traffic including road passenger and road freight volume two. According to research, an area of ​ ​ road traffic and the number of the region, the number of motor vehicles and road area, Table 1 shows the 20 years have to road traffic-related data, the table number and road passenger traffic units for people , million two units of the number of motor vehicles, road area in square kilometers, the highway freight volume was 10 000 tons. According to relevant data, the number of people of the region in 2010 and 2011 were 73.39 and 75.55 million, the number of motor vehicles were 3.9635 and 4.0975 million units, the road area were 0.9880 and 1.0268 million square meters. Please use the BP neural network in the region in 2011, 2010 have highway passenger volume and road cargo.)

这是code使用说明,对大家比较有帮助，新手必备(This is the code for use)

This is a categorized compilation of tips for the MATLAB programmer. Items to help you to browse through them and find information that is useful. Many of the tips include a reference to specific MATLAB documentation that gives you more complete coverage of the topic.

matlab时频工具箱，比较齐全，里面包含了时频分析的主要算法(time-frequency toolbox matlab, more complete, which includes the time-frequency analysis of the main algorithm)