搜索资源列表
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.
BP
- 基于MATLAB的神经网络BP算法的改进Lm算法
whd
- 基于MATLAB的神经网络BP算法的改进Lm算法
chenggong.m
- lm算法的matlab程序，自己编的，不是库函数
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
LMsarsem_panel
- jisuanlm 统计量 y用于空间计量的分析与研究-caculate statistics of lm
makeLMfilters
- make lm filter in the matlab
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)
bpmatlab
- bp神经网路在地震预测中的应用，分别采用gd、gdx、lm训练方法，供大家参考~-bp neural network in the earthquake prediction, respectively, using gd, gdx, lm training methods for your reference ~
RunningLM
- matlab中使用LM训练方法计算XOR，3-bit Parity，regression等问题的收敛速度，比较其收敛率。-using LEVENBERG MARQUARDT in matlab to compute convergence rate
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!
peaksf
- Peaks function for illustrating steepest descent, Newton,and LM directions.
defuzzy
- Animation for steepest descent, Newton, and LM directions
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
LM
- 利用MATLAB编写LM算法定位，验证程序可添加-LM position
LM=BP
- LM-BP电力系统考虑多种天气进行预测，误差小-LM-BP to consider a variety of power system to predict weather, small error
LM
- 实现L-M非线性最小二乘优化，并有相关测试程序-LM achieve nonlinear least squares optimization, and related test procedures
LM实例
- 用L-M法求多维函数的极值，给出了一种求STLS解的算法及其子空间解释与拓扑解释,利用矩阵分解揭示了LM算法与STLS的密切关系
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
LM算法
- 针对两段不同音频文件进行实验对比。采用LM算法。可以直接运行，效果非常理想。