搜索资源列表
BP_tanh_linaer
- BP神经网络Simulink模型。。例子给了个离散传递函数。训练后的网络可以逼近任意传递函数，或者非线性函数。-Simulink model of BP neural network. . Examples for the discrete transfer function. Trained network can approximate any transfer function, or the nonlinear function.
bpsinx
- 用bp神经网络进行函数逼近，逼近的函数为y=sinx，拟合效果不错-Bp neural network with function approximation, approximation function y = sinx, the effect of a good fit
UWBpulse
- 基于切比雪夫函数逼近的超宽带脉冲设计方法及仿真-Based on Chebyshev Function Approximation of the ultra-wideband pulse design methods and simulation
MATLAB-algorithm
- 插值 函数逼近 数值微分 数值积分 非线性方程求解 解线性方程组的直接解法 解线性方程组的迭代法 随机数生成 特殊函数计算 常微分方程的初值问题 偏微分方程的数值解法 数据统计和分析-Interpolation function approximation numerical integration of nonlinear differential equations numerical solution of linear equations
用BP网络完成函数的逼近源程序
- 用BP网络完成函数的逼近源程序- Completes the function with the BP network to approach the source program
matlab-suanfadaquan
- 包括插值，函数逼近，矩阵特征值计算，数值微分，数值积分，方程求根， 非线性方程组求解， 解线性方程组的直接法，解线性方程组的迭代法，随机数生成等-Including interpolation, function approximation, eigenvalue computation, numerical differentiation, numerical integration, equation Root, non-linear equations to solve the direc
prony_method
- 运用prony法对函数逼近，可以通过取样点数逼近任意函数-The use of Prony method of function approximation can approximate any function of the sampling points
BP
- 应用BP神经网络对两个函数进行非线性逼近，并给出MATLAB源程序，还对结果进行了分析。-Application of BP neural network of the two non-linear function approximation, and gives MATLAB source code, but also on the results are analyzed.
FIRdesign
- FIR数字滤波器的设计方法主要是建立在对理想滤波器频率特性作某种近似的基础上的。这些近似方法有窗函数法、频率抽样法、最佳一致逼近法。在这里只讨论窗函数法。程序中也是采用了这种方法。-FIR digital filter design method is mainly based on the frequency characteristics of the ideal filter for some kind of approximation on the basis of. These app
numerical
- 数值分析的实验文档和源程序 包含 1.样条插值 2.非线性方程求根 3.函数逼近和拟合 4.矩阵特征值计算 5.舍入误差分析 程序在相应文档中-Numerical Analysis of the experimental documentation and source code that contains 1. Spline Interpolation 2. Nonlinear equations Root 3. Function approximati
hanshubijin
- MATLAB下BP神经网络用于函数逼近-MATLAB under the BP neural network for function approximation
RBFtidu
- 这是一个用RBF神经网络用梯度算法实现的一个函数逼近源代码-This is a use of RBF neural network algorithm with gradient function approximation of a source code
GA_RBF
- 用遗传算法优化RBF网络参数,减小RBF网络在函数逼近中的误差-Using genetic algorithm to optimize parameters of RBF network, reducing the RBF Network in Function Approximation Error
lagrange
- 拉格朗日插值逼近：在离散数据基础上补插除连续函数是计算数学中最基本最常用的手段是函数逼近的重要方法。-Lagrange interpolation approximation: In the discrete data based on the fill plug in addition to continuous function is the mathematical calculation of the most basic means of the most commonly used
newcode
- 用matlab实现多次最佳一致的函数逼近 用matlab实现多次最佳一致的函数逼近-Using matlab to achieve the same function many times the best approximation using matlab to achieve the same function many times the best approximation
hanshubijin
- 用bp神经网络的进行函数逼近，达到逼近的效果-Bp neural network used for function approximation to approximate the effects of
GGAP-RBF
- 模糊神经网络实现函数逼近与分类，实现模糊规则的提取。-Fuzzy neural network function approximation and classification, to achieve the extraction of fuzzy rules.
OS-ELM
- 模糊神经网络实现函数逼近与分类，实现模糊规则的提取。-Fuzzy neural network function approximation and classification, to achieve the extraction of fuzzy rules.
elm
- 模糊神经网络实现函数逼近与分类，实现模糊规则的提取。-Fuzzy neural network function approximation and classification, to achieve the extraction of fuzzy rules.
RBFFunction
- RBF网络用于函数逼近，未使用matlab工具箱，程序应用效果良好-RBF network for function approximation is not used matlab toolbox, the application of effective procedures