dai

线性二次最优控制加权阵遗传算法优化适应度函数m文件；模糊控制器量化比例因子遗传算法优化适应度函数m文件(Linear quadratic optimal control weighted array genetic algorithm fitness function m documents quantization scale factor of fuzzy controller optimized by GA fitness function m file)

matlab混合编程的官方经典教程，适合中高级用户使用(Mixed matlab programming tutorial official classic, suitable for high users)

Solving knapsack with MATLAB

It is BER vs SNR codes for BPSK and 4QAM

基于MATLAB的MFSK调制解调，其中解调包括相干和非相干解调(MATLAB-based MFSK modulation and demodulation, which includes coherent and non-coherent demodulation demodulation)

有借鉴意义哦，基于混沌的模拟退火算法，模拟数据分析处理的过程。( There are reference Oh, Chaos-based simulated annealing algorithm, Analog data analysis processing.)

移动机器人同时定位与地图创建最前沿技术，来自school summer 的培训材料，一共有三个代码包，包括EKF，PF等代码，这是第一部分(Mobile Robot Localization and Mapping at the same time to create the most cutting-edge technology, from the school summer training materials, a total of three code package, including the EKF, PF and other code, this is the first part of)

根據鼠摽位置 直接實現鼠標放大鏡功能 不用另行顯示(Mouse Magnifier direct implementation based on mouse position without further invited for display)

传算法（Genetic Algorithm）是一类借鉴生物界的进化规律（适者生存，优胜劣汰遗传机制）演化而来的随机化搜索方法。它是由美国的J.Holland教授1975年首先提出，其主要特点是直接对结构对象进行操作，不存在求导和函数连续性的限定；具有内在的隐并行性和更好的全局寻优能力；采用概率化的寻优方法，能自动获取和指导优化的搜索空间，自适应地调整搜索方向，不需要确定的规则。遗传算法的这些性质，已被人们广泛地应用于组合优化、机器学习、信号处理、自适应控制和人工生命等领域。它是现代有关智能计算中的关键技术(Propagation algorithm (Genetic Algorithm) is a law of evolution in biology class reference (survival of the fittest, survival of the fittest genetic mechanisms) randomized search method evolved. It was first proposed by the United States J.Holland professor in 1975, and its main feature is to operate directly on the structure of the object, the continuity of the derivative and the function limitation does not exist with global implicit parallelism inherent and better optimization capability the use of probabilistic optimization method that can automatically obtain and guidance to optimize the search space adaptively adjust the search direction, the rule does not require determined. The nature of the genetic algorithm, has been widely used in combinatorial optimization, machine learning, signal processing fields, such as adaptive control and artificial life. It is about smart modern computing key technologies)

MATLAB2009的安装过程详细讲解~~功能强大(MATLAB2009)