LMSPandPVSS_LMS

简明扼要的介绍了共轭梯度法matlab程序(Concise introduction to the conjugate gradient method matlab program)

详解matlabsimulink通讯系统建模与仿真(Detailed matlabsimulink communications system modeling and simulation)

说明：  matlab中文帮助，非常有用哦！！！！(matlab Chinese help, very useful oh! ! ! !)

提高风力机将风能转化为机械能的效率，根据我国西北地区的风频风能曲线，用最优设计攻角沿叶片轴线的非线性分布修正传统Wilson算法，优化设计大型水平轴风力机叶片的气动性 能．该优化设计利用Madab优化工具箱，优化速度干涉因子的迭代计算，提高计算效率；考虑多翼型和变攻角等因素对叶片外形优化的影响，从结构及加工工艺角度修正翼型．通过对1．2MW风力发电机组叶片外形的气动性能计算和优化设计，结果表明该优化设计的有效性和可行性，可为风力机叶片外形设计提供参考．(Improve wind turbine wind energy into mechanical energy efficiency, according to the Northwest China wind frequency wind power curve, optimum design angle of attack along the blade axis of traditional non-linear distribution correction Wilson algorithm to optimize the design of the aerodynamic performance of the large-scale horizontal axis wind turbine blades . The Optimal Design Optimization Toolbox Madab optimized for speed interference factor iterative calculation to improve computational efficiency consider multi-airfoil and change the angle of attack and other factors on the blade shape optimization, airfoil from the structure and processing angle correction. By 1.2MW wind turbine blade shape aerodynamic performance calculation and optimization design, the results show that the effectiveness and feasibility of the optimized design can provide a reference for the wind turbine blade shape design.)

用matlab编写的程序，建立经典模型，解决车间调度通用问题，(Matlab prepared using the procedure, the establishment of the classical model, to solve general shop scheduling problem,)

说明：  基于SFM的三维重建MATLAB程序，值得借鉴(SFM - based three - dimensional reconstruction of MATLAB procedures, worthy of reference)

pls算法集合，包含表格数据读取，过程变量降维、潜变量的投影方式(pls、pca algorithm)

On-Line Digit Recognition using Off-Line Features

说明：  老外的一本绝版好书，有钱买不到的东西哦，收藏起来吧(Foreigners an out of print books, there are things money can not buy Oh, collectors get up)

matlab源码，运用遗传算法 优化RBF隐层神经元的中心值，宽度，和权值，具有很强的学习性。(matlab source code, the use of genetic algorithm optimization of RBF hidden layer neurons in the central value, width, and weight, has a strong learning.)