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algorithms-LMS-adaptive-filtering
- adaptive filter and its M atlab simulation based on LM S algorithm.-adaptive filter and its simulation M atlab S based on LM algorithm.
BPtrainlmtrainbr.rar
- 用L-M 优化算法与贝叶斯正则化算法训练同一个样本,By LM optimization algorithm with Bayesian regularization algorithm for training with a sample
Code_MATLAB_Optimization
- 这是龚纯《精通MATLAB最优化计算》随书源码(M文件)。基于MATLAB优化工具箱，代码包含的内容有：牛顿法等无约束一维极值问题、单纯形搜索法等无约束多维极值问题、Rosen梯度投影法等约束优化问题、L-M法等非线性最小二乘优化问题、线性规划、整数规划、二次规划、粒子群优化、遗传算法。-This is pure Gong " Mastering MATLAB optimization calculations," with the book source (M file)
1
- 将Minpack库中的LM算法封装成库，经过调试，通过算例运行结果与Matlab中运行出来的结果相差0.01范围内。-Will Minpack library package into the LM algorithm library，After debugging An example is the results is only 0.01 Difference from the result of Matlab s!
LMS9
- 基于LMS算法的自适应噪声消除仿真分析,内含详细的文档说明-LMS-based adaptive noise cancellation algorithm simulation analysis, contains a detailed documentation
mLM
- Lm算法是非常有效的非线性最小二乘法，对于光束平差很有用-Lm algorithm is very effective non-linear least squares method is useful for beam adjustment
BP1
- 采用L-M优化算法用以训练BP神经网络，使其能够拟合某一附加有白噪声的正弦样本数据。设计一个三层BP神经网络，其网络的隐含层神经元的激励函数为双曲正切型，输出层各神经元的激励函数为线性函数，隐含层有6个神经元-LM optimization algorithm used to train BP neural network to enable it to fit a white noise, sine additional sample data. Design a three BP neura
H-fliter
- 基于方差约束 ,研究一类不确定线性定常随机离散系统的 H ∞滤波问题。提出了一种 鲁棒滤波的新算法 ,该算法克服构造对角矩阵约束性较强- H ∞filtering problem under the constraint of variance was discussed for a class of linear stochastic uncertain system. A new algorithm of robust filter
L-M
- L-M,BP网络算法，用matlab语言编译-LM, BP network algorithm with matlab compiler
trainlm
- 采用两种训练方法，即 L-M 优化算法（trainlm）和贝叶斯正则化算法（trainbr）-Using two training methods, namely, LM optimization algorithm (trainlm) and Bayesian regularization algorithm (trainbr)
lmsuanfa
- 一种LM算法，主要用于方程式的求解，具有较好的准确性和鲁棒性-A LM algorithm, mainly used to solve equations with good accuracy and robustness
L-Msuanfa
- matlab实现的L-M算法的函数拟合，可以用了进行函数的拟合-matlab implementation of the LM function fitting algorithm can be used for the fitting function
LM
- 列文伯格—马奎特算法的matlab实现程序-The Matlab program of the Levenberg-Marquardt algorithm
lm
- Levenberg-Marquardt算法 使用Levenberg-Marquardt算法来最小化-Levenberg-Marquardt algorithm using the Levenberg-Marquardt algorithm to minimize the model
ga_lm_bp
- 4-9-1的结构ga-lm的bp算法 有示例数值 不是拟合而是预测-4-9-1 structure of ga-lm bp algorithm is not fit but there are examples of numerical prediction
LMoptimization
- 今年学习的优化算法，主要是LM算法，很有用对优化算法的学习-Optimization algorithm to learn this year, mainly LM algorithm optimization algorithm is useful for learning.
shenjingwangluo
- 可自由选择贝叶斯正则化算法或者是L-M 优化算法的神经网络matlab代码-The freedom to choose the Bayesian regularization algorithm or LM optimization algorithm neural network matlab code
mat-dlf
- 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 sa
LM
- 列文伯格-马夸尔特算法的一个实例程序，通过一组简单的数据实例，运用列文伯格-马夸尔特法迭代逼近最佳解。-an example of using Levenberg-Marquardt algorithm to get the best results
lm
- 最优化算法，使用信赖域法（LM）求解无约束问题。可以实现画出三维图像，通过修改初始点，得到迭代次数和函数值(Optimization algorithm, using LM method to solve unconstrained problems. Three dimensional images can be drawn, and the number of iterations and function values can be obtained by modifying the in