搜索资源列表
Mathcalculationprocedures
- 该程序包含矩阵最大特征值上、下界估计、线性方程组的求解、非线性方程组的一个最新迭代方法、数值积分、微分方程数值解！-The program contains the largest eigenvalue matrix, the lower bound estimates, linear equations, nonlinear equations, a recent iterative method, numerical integration, numerical solution of di
particle_filter_paper_and_source_code_for_example1
- particle filter的原始文件以及文中一维非线性实例代码，可以运行。-particle filter paper and source code for the 1d nonlinear example, source code works well.
SVM_toolbox01
- 支持向量机作为统计学习理论的实现方法，能很好地解决非线性和高维数问题，克服了神经网络方法收敛慢、解不稳定、推广性差的缺点，近年来得到了广泛地研究，在模式识别、信号处理、控制、通讯等方面得到了广泛地应用。-Support Vector Machine as the implementation of statistical learning theory approach, can be a good solution to the nonlinear and high dimension pro
poly_svm
- 核函数是利用支持向量机解决不可分问题时引入的一种非线性变换的手段。基本思想是通过非线性变换，使样本变换之后的特征空间中变得线性可分。然后利用线性可分时构造最优超平面的方法，在特征空间中实现最优超平面的求解。-Kernel function is the use of support vector machine to resolve the issue can not be separated from the introduction of a nonlinear transform mean
bnb20
- 非线性整数规划算法，求解非线性整数规划活混合规划问题，常用的算法是分枝定界算法。基于该算法编成的现成函数bnb20()-Nonlinear integer programming algorithm for solving nonlinear mixed integer programming live planning problem, commonly used algorithms are branch-and-bound algorithm. Based on the algorithm
kpca
- KPCA是一种非线性的盲源分离方法，很好用，推荐大家下载！-KPCA is a nonlinear blind source separation methods, very good, and recommend everyone to download!
Nonlinearequationssolver
- 非线性方程组的求解程序，包含很多解法，是数值求解非线性方程的方法的总结。-Nonlinear equations procedures, contains a lot of solution, numerical solution of nonlinear equations are the summation method.
Planningquestions
- 线性规划及非线性规划的经典matlab代码，文件中还有PPT文件作为参考学习。-Linear programming and nonlinear programming of the classical code, the document have PPT file as a reference study.
getdf
- 我编写的一个关于解决非线性方程的优化问题的共轭梯度法，希望对大家有用-I prepared a solution of nonlinear equations about the optimization problem of conjugate gradient method, in the hope that useful
kalmanbucy
- 学习扩展卡尔曼滤波气的基本文件，可以随便下载并讨论-This is a tutorial on nonlinear extended Kalman filter (EKF). It uses the standard EKF fomulation to achieve nonlinear state estimation. Inside, it uses the complex step Jacobian to linearize the nonlinear dynamic system. Th
Mani
- 流形学习程序，Isomap，LLE，LTSA，etc，非线性数据降维-manifold learning, Isomap, LLE, LTSA, etc, nonlinear data dimensionality reduction
ESDNonlinear
- introduction to nonlinear estimation with EKF and an example in Matlab-introduction to nonlinear estimation with EKF and an example in Matlab
beiyesifenbu
- 分类判别中，bayes判别的确具有明显的优势，与模糊，灰色，物元可拓相比，判别准确率一般都会高些，而BP神经网络由于调试麻烦，在调试过程中需要人工参与，而且存在明显的问题，局部极小点和精度与速度的矛盾，以及训练精度和仿真精度间的矛盾，等，尽管是非线性问题的一种重要方法，但是在我们项目中使用存在一定的局限，基于此，最近两天认真的研究了bayes判别，并写出bayes判别的matlab程序，与spss非逐步判别计算结果一致。-Classified Identifying, bayes discrim
linectrlOK5512Iinv
- 一个非线性制实例,采用ANN-PID实现一非线性系统控制-An example of nonlinear system was controled by software ANN-PID with using the matlab program
BPalgorithm
- 用于流量预测的BP算法，可以实现非线性预测，供参考-Flow projections for the BP algorithm, nonlinear prediction can be achieved, for reference
XPM
- Simulates nonlinear effect in optical fiber called Cross Phase Modulation for symmetric regime
ex3
- 基于BP神经网络识别字符. BP神经网络算法是把一组样本输入输出问题转化为一个非线性优化问题，并通过梯度算法利用迭代运算求解权值的一种学习方法。采用BP网络进行分类，并附加线性感知器来实现单字符的有效识别，算法简便，识别率高，可适用于多种高噪声环境中的印刷体字符识别。-BP neural network based character recognition. BP neural network algorithm is a set of sample input and output is
invariants
- 有用的几个动力学物理量。包括自相关函数(acorr.m)，复杂度(complexity.m)，最近邻点(fnn.m)，局部非线性预测误差(nlpe.m，Shannon复杂度（Shannon.m）,嵌入窗估计(window.m)-Several dynamic invariants and measures that may be useful. Included are algorithms for autocorrelation (acorr.m), complexity (complexit
Matlab_Wavelet_Denoise_Compress
- 包括的多个示例源代码有：一维线性非线性近似、二维线性非线性近似、使用线性滤波过滤噪声、使用小波门限消除噪声、使用小波变换压缩一维信号、二维小波图像压缩等等。-Including the source code of a number of examples are: a linear one-dimensional non-linear approximation, nonlinear two-dimensional linear approximation, the use of linear
MFCC
- MFCC (Mel Frequent Cepstral Coefficient) in M-File. epresentation of the short-term power spectrum of a sound, based on a linear cosine transform of a log power spectrum on a nonlinear mel scale of frequency. MFCCs derived as follows: 1. Ta