搜索资源列表
lm_ts
- Levenberg-Marquardt method for training a Takagi-Sugeno fuzzy system
NEURAL-NETWORK-COMPENSATOR
- method based on Neural Network (NN) technique and accompanied with MMSE (Minimum Mean Square Error), which corrects at the receiver level, the Non-Linear (NL) distortions due to the HPA (High Power Amplifier).-In
BP_Differ_Train
- BP神经网络算法用来拟合加噪信号，并以动量梯度下降算法和减少内存的Levenberg-Marquardt算法两种训练方法进行该实例下的性能对比-BP neural network algorithm used to fit the noise signal, and to reduce the momentum gradient algorithm and memory Levenberg-Marquardt algorithm two
Novel-Neuronal-Activation
- Feedforward neural network structures have extensively been considered in the literature. In a significant volume of research and development studies hyperbolic tangent type of a neuronal nonlinearity has been utiliz
LevenbergMarquardtDemo
- Levenberg Marquardt 算法的示例，matlab下求解一个有解析式(需要jacobian矩阵)的方程最优解。测试可用，可以借鉴。-Levenberg Marquardt algorithm example, matlab to solve a analytic (requires jacobian matrix) equation optimal solution. Test available, can learn f
LM_sample
- Levenberg Marquardt算法的matlab代码,简洁无误,结构清晰,便于快速学习。- LevenbergMarquardt algorithm matlab code, simple and correct, clear structure, easy to learn quickly.
Gradientes
- gradiente conjugado, levenberg, quase-newton e de newton
高效稳定的LMF方法求解非线性方程组
- 解决方案是通过弗莱彻版本的Levenberg-Maquardt获得的 用于最小化方程残差平方和的％算法。 ％LMFnlsq应用程序的主要领域是在进行曲线拟合时 处理实验数据％。(A solution is obtained by a Fletcher's version of the Levenberg-Maquardt algoritm for minimization of a sum of squares of equat
Lervenberg_Marquardt_Algorithm
- Lervenberg-Marquardt 算法的实现，包括测试代码，并有辅助函数。解压缩后可直接运行，包含3个例子，在LMFnlsq2test.pdf中有对算法的详细描述。(The function is an improved version of the function LMFnlsq widely tested on the nonlinear regression, curve fitting and identificati
gtn-st-lm
- Umat for GTN damage material model in Abaqus by UMAT - STATIC in Levenberg-Marquardt (LM) solution routines from Slatec library