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空气质量降维B-P神经网络评价法及其MATLAB实现 简介: 用主成分分析将多维空间的样本数据降维到低维空间，将其作为BP网络的输入。BP网络的算法采用LM优化法。描述了该网络的MATLAB程序语言实现过程。(Air quality dimension reduction BP neural network uation method on MATLAB Introduction: Using principal component analysis will drop the sample data in multidimensional space dimension to low-dimensional space, as the input of BP network. BP network algorithm using LM optimization method. The network describes the MATLAB programming language implementation process.)

本例中通过使用MATLAB把声音信号进行分析，把有声音的部分进行过滤，分别过滤后 再把3个信号连在一起，使3个单独的声音信号转换为一个单独的连续声音信号。(In this case through the use of MATLAB to analyze acoustic signals, the voice has some filtering, respectively, after filtering the three signals together, so that three separate voice signal is converted to a single continuous sound signal.)

自适应谱线增强问题，计算两个输入信号序列的自相关函数，选择合适的步长，以实现输出信号谱线的增强(Adaptive line enhancement problem, the calculation of two input signal sequence auto-correlation function, select the appropriate step in order to achieve enhanced output signal spectrum)

简单的介绍了matlab的基本知识有简单的小程序，希望对初学者有一定的知道作用(Simple introduces entry-learning methods and examples matlab little hope for beginners have some know the role)

parzen 窗函数 对样本进行有效分类(parzen—window function)

The region is iteratively grown by comparing all unallocated neighbouring pixels to the region. The difference between a pixel s intensity value and the region s mean, is used as a measure of similarity. The pixel with the smallest difference measured this way is allocated to the region.

利用再大似然方法对雷达DOA进行估计，对结果进行了对比(Again big likelihood method is used to analyse the radar DOA estimation, the results were compared)

"试验设计"是很多工程人员尤其是化学工作者经常要面对的话题，“试验设计”可以为我们的工作和科研节省大量的人力，物力和财力！本人结合自己在试验过程中的经历总结了所有设计过程中可能遇到的设计方案，并且把它们写成matlab源代码的形式，以此方便大家工作和学习上的使用。()

Laplacian Eigenmaps [10] uses spectral techniques to perform dimensionality reduction. This technique relies on the basic assumption that the data lies in a low dimensional manifold in a high dimensional space.[11] This algorithm cannot embed out of sample points, but techniques based on Reproducing kernel Hilbert space regularization exist for adding this capability.[12] Such techniques can be applied to other nonlinear dimensionality reduction algorithms as well.

NS ALGORITHM.元胞自动机交通流模型的NS模型代码(NS ALGORITHM. NS model code cellular automaton traffic flow model)