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function-approximation
- 利用BP神经网络对非线性函数进行逼近，逼近的函数为三角函数。-By using BP neural network to realize the function approximation, the approximation function is a trigonometric function.
CMAC1
- 利用小脑模型神经网络对函数进行逼近，逼近函数为正弦函数。-The function is approximated by the cerebellar model neural network, and the function is the sine function.
Two-Variate-Function
- 使用BP神经网络实现二元函数的逼近问题，包含训练样本，无测试集-Using BP neural network to achieve the approximation of the two function function, including the training samples, no test set
9GAP
- 使用BP算法逼近非线性函数，没有使用神经网络工具箱，适合初学者。-Using BP neural network approximation of nonlinear function, there is no use of neural network toolbox, suitable for beginners.
cc
- 这是一个BP神经网络的训练函数，用于实现对矩形波形的训练逼近。-This is a function of BP neural network training, training for implementing a rectangular waveform approximation.
ideal_lp
- 格型滤波器设计，格型fir滤波器设计法。通过逼近函数设计出来。-the filter of gexing
bijin
- 利用matlab完成对sin函数的逼近，显示了sin函数的逼近曲线和误差曲线-Using matlab to complete the sine function approximation, shows the approximation of the sine function curve and error curve
yangtiao3
- 三次样条逼近函数的matlab求解实现 数值分析课程代码-Cubic spline approximation of functions for solving matlab realization Numerical Analysis Course Code
APPROXIMATION
- 这是书籍An Introduction to Scientific Computing Twelve Computational Projects Solved with MATLAB第三章多项式逼近函数的matlab程序，具体的函数和多项式的阶数可以参见书籍-This is books An the Introduction to Scientific Computing Twelve Computational Projects Solved with MATLAB in the third
Spline
- 选择合适离散点，应用三次样条插值法逼近龙格函数-Select the appropriate discrete points, cubic spline interpolation function approximation Longa
network_kit
- 使用神经网路下的BP算法逼近sin函数，训练样本9个，测试样本361个-Use BP neural network algorithm of approximation of the sin function under training samples 9, test samples 361
ANN
- BP网络讲解以及利用matlab内置BP工具逼近hermit函数-BP network and explain the use of the built-BP matlab function tool Approximation hermit
Project10
- 采用数值分析课程中的插值逼近以及曲面拟合方法来估算复杂的函数表达式。-Interpolation approximations and surface fitting methods are used in the numerical analysis course to estimate complex function expressions.
expression-functions
- 切比雪夫 用切比雪夫多项式逼近已知函数 勒让德 用勒让德多项式逼近已知函数 帕德 用帕德形式的有理分式逼近已知函数 lmz 用列梅兹算法确定函数的最佳一致逼近多项式 ZJPF 求已知函数的最佳平方逼近多项式 方舟子 用傅立叶级数逼近已知的连续周期函数 事实上的部队 离散周期数据点的傅立叶逼近 SmartBJ 用自适应分段线性法逼近已知函数 SmartBJ 用自适应样条逼近（第一类）已知函数 multifit 离散试验数据点的多项式曲线拟合 LZXEC 离散
BP-neural-networks
- BP神经网络：应用BP神经网络逼近非线性函数，采用单层网络结构。提供仿真实例与源代码M文件，对于新手学习神经网络算法有很大的帮助！-BP neural networks: BP neural network to approach nonlinear function, single-layer network architecture. The simulation provided with the source code file M, neural network algorithm f
duo_xiang_shi_nihe
- 基于matlab的多项式函数拟合、逼近的仿真程序源代码-Based on matlab polynomial function fitting approximation of the simulation program source code
Gamma
- 提供级数法和Lanczos逼近法计算伽马函数近似值，java语言编写-Provide progression method and Lanczos approximation to calculate the gamma function approximation, java language
BP-algorithm-numerical-experiments
- BP算法数值实验的四个程序,实验一：给定七个输入的单层神经元以及输入P，比较不同传递函数所得到的输出结果。实验二：训练单层神经元BP网络，使其权值和阈值符合一定的精度，并给出误差曲面和动态逼近过程。实验三：训练一个隐层（含五个神经元）的单输出BP网络，给出动态逼近过程和训练好的权值和阈值。实验四：设计一个三层BP网络，实现对非线性正弦函数的逼近。-The four programs of the BP algorithm numerical experiments.
Butterworth
- 基于最大平坦特性的巴特沃斯(Butterworth)函数的逼近函数数字滤波器设计（包括高通，低通，带通，带阻）-Based on the maximum flatness of Butterworth (Butterworth) function approximation function digital filter design (including high pass, low pass, band pass, band stop)
8REMZ
- 用里米兹方法Remez求给定函数的最佳一致逼近多项式，内含测试程序-For a given function with Remez Li Mizi method best uniform approximation polynomial