The_introduction_to_application_of_Matlab

implements the secant method for solving an equation f(x) = 0.

说明：  《模糊系统与模糊控制教程》共31章，内容包括模糊数学与模糊逻辑中一些对于模糊系统理论有用的概念和原理，模糊系统的各组成部分，设计模糊系统的四种方法，模糊控制与非自适应模糊控制方法，以及若干不属于本书主体结构但很重要的专题等内容。(Book a course of fuzzy systems and fuzzy control, a total of 31 chapters, including some of the fuzzy mathematics and fuzzy logic for useful concepts and principles of fuzzy system theory, fuzzy system of each component, design the four methods of fuzzy system, fuzzy control with the adaptive fuzzy control method, and some do not belong to book the main structure but very important project, etc.)

解决旅行商，解决旅行商解决旅行商解决旅行商解决旅行商解决旅行商(TO SOLVE T。S。P)

matlab图像处理的电子书籍。对想学习matlab的同学比较有用(matlab image processing electronic books. Useful to the students want to learn matlab)

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.)

matlab的潮流计算程序，复制到代码区即可使用(load flow calculation of matlab)

Good matlab book, for especially starters.

Learning the Kalman Filter

模拟COMP中的JP和CB两种传输模式，预编码方式为SLNR(Simulation of JP and CB COMP two transmission modes, pre-encoding is SLNR)

rls改进算法的MATLAB仿真程序，供大家参考(rls MATLAB simulation program to improve the algorithm, for your reference)