levinson

介绍WSN中非常重要的一种协议LEACH以及它的演化版本LEACH-C，是该领域的奠基性文章。(WSN introduce a very important LEACH protocol, as well as its evolution version of LEACH-C, are the foundation of the field article.)

matlab在数学建模上的应用，包含数学建模常用算法以及历年建模题的代码(matlab application of mathematical modeling, including mathematical modeling commonly used algorithms and code for the theme of the calendar year modeling)

FIND COUNTOUR WITH FAMOUS ALGORITHMS

基于matlab的关于遗传算法的一些重要的函数的m文件，供读者参考 (Based on some of the important matlab m file on genetic algorithm function for readers reference)

小波阈值自动选取方案去噪，并用HHT对去噪后的轴承信号进行处理，提取故障特征。(Wavelet threshold de-noising program automatically chooses, for bearing with HHT denoised signal processing, fault features.)

说明：  BP神经网络的一种回归算法研究，MATLAB实现并已通过系统仿真测试(A return of BP neural network algorithm, MATLAB simulation to achieve and have passed the test)

云发生器的matlab代码，云模型的实现过程(cloud )

产生随机序列，进行调制，然后过信道，进行解调，绘星座图，仿真误码率(Generating a random sequence, modulated, and then through the channel, demodulates, painted constellation, simulation BER)

帝王蝶优化算法,一种新的元启发式优化算法！(In nature, the eastern North American monarch population is known for its southward migration during the late summer/autumn the northern United States and southern Canada to Mexico, covering thousands of miles. By simplifying and idealizing the migration of monarch butterflies, a new kind of nature-inspired metaheuristic algorithm, called Monarch Butterfly Optimization (MBO), a first of its kind, is proposed in this paper. In MBO, all the monarch butterfly individuals are located in two distinct lands viz. Southern Canada & northern United States (Land 1) and Mexico (Land 2). Accordingly, the positions of the monarch butterflies are updated in two ways. Firstly, the offsprings are generated (position updating) by migration operator, which can be adjusted by the migration ratio. It is followed by tuning the positions for other butterflies by means of butterfly adjusting operator. In order to keep the population unchanged and minimize fitness uations, the sum of the newly-generated but)

模型预测控制，针对广义预测控制s函数的编写，(The writing of s function for generalized predictive control)