tuxiangfenge

NNDemo2.0是对神经网络实验演示系统NNDemo1.0的进一步增强与扩充， 可以形象的演示各种网络模型的一些应用或性质，其中仿真例题是《人工 神经网络原理及仿真实例》教材中所有的例题。该系统使用极其简便，即使 你对各种网络模型不是很深刻的了解，也可以很好的使用该系统。使用时， 你可以自己修改网络的各种参数，交互性较好，而且该系统通过大量的图示 及参数设置，可以让你了解每个应用实例实现的过程及详细步骤。如果你想 学习神经网络的Matlab仿真（编程），进一步提高自己的编程能力，下面的 文件说明可以帮助你很快的找到系统的每个源文件。 (NNDemo2.0 is a neural network system NNDemo1.0 experimental demonstration of the further enhanced and expanded)

Accurate smoothing of triangulated patch mesh

LBM方法求解流体力学中的圆柱扰流问题，输出动态流场图。(LBM method for solving fluid turbulence in the cylinder problem, the output dynamic flow diagram.)

Matlab functions implementing non-parametric local linear smoothing (LLS) for one-dimensional curve fitting: yi = f(xi) + ei for i = 1, 2, ..., n. The toolbox contains: (i) the usual LLS estimator, see e.g. [1] (ii) a jump-preserving (two-sided) LLS estimator proposed in [2] (iii) a modified version of the two-sided LLS proposed in [3].(Matlab functions implementing non-parametric local linear smoothing (LLS) for one-dimensional curve fitting: yi = f(xi)+ ei for i = 1, 2, ..., n. The toolbox contains: (i) the usual LLS estimator, see e.g. [1] (ii) a jump-preserving (two-sided) LLS estimator proposed in [2] (iii) a modified version of the two-sided LLS proposed in [3].)

Matlab中的双馈发电系统模型，包括电机模型和控制部分，可以随意修改电机参数(Matlab DFIG)

人字架结构尺寸的优化设计 计算此结构的最优化参数(Renzi Jia structure optimization design of the size of the optimization parameters of this structure)

Performance analysis of wireless networking with interleaving on the receiver side over Rayleigh fading channels.

使用SOM自组织映射网络实现可视化聚类源码(SOM SOM visualization cluster source)

针对目前流行的一种文件格式segy 处理的软件包，( Since the original SEG Y Data Exchange Format [revision 0, reference page 45] was published in 1975 it has achieved widespread usage within the geophysical industry. This widespread usage has brought about many proprietary variations. Since the publication of SEG Y rev 0, the nature of seismic data acquisition, processing and seismic hardware has changed significantly. The introduction of 3-D acquisition techniques and high speed, high capacity recording media dictate the need for revisions to the SEG Y rev 0 format. The major changes introduced by SEG Y rev 1 are: standardizing the location of header information needed for current processing practices and defining a SEG Y data set as a byte stream format. The SEG Technical Standards Committee strongly encourages producers and users of SEG Y data sets to move to the revised standard in an expeditious fashion. )

Either a string naming a function that calculates the gradient, or the null matrix