资源列表
BP_neural_network
- 采用动量梯度下降算法训练BP网络，程序后面有详细注释-Gradient descent algorithm using momentum BP network training, procedures followed have detailed notes
Lagrange
- 构造Lagrange插值多项式pL(x)-Construction Lagrange interpolation polynomial pL (x)
Duffing_success
- 利用混沌振子检测微弱正弦信号，以duffing系统为例，采用的梯形积分积分求取微分方程-Detection of chaotic oscillator using weak sinusoidal signal to duffing system as an example, using the trapezoidal integration points to strike a differential equation
fft_analysis
- 傅里叶变换是信号处理的重要手段之一，在频域内对信号进行处理具有诸多优点-Fourier transform is an important means of signal processing in the frequency domain signal processing has many advantages
KLMAN
- klman 离散随机系统的卡尔曼滤波编程算法，代码比较容易懂-klman discrete stochastic systems programming Kalman filter algorithm, the code easier to understand
jiucuobianma
- 基于最小路径算法的弗洛伊德路径，一二三四五六七八九十-Floyd Shortest Path Algorithm Based on the path, 12,345,678 90
0-1bag-question
- 0-1背包问题 一种简单的算法 用c++实现的源代码-0-1bag question
RM
- 计算两组向量之间的旋转矩阵。输入参数为在两个不同坐标系中的同名向量（模为1），返回参数是一个3X3的旋转矩阵。-The function of RM realize the rotation between two sets of vectors, whose magnitude are 1, defined in two different refrence frames. Input parameters are two sets of vectors r and b, return val
LU
- 数值计算中LU分解法源代码 对矩阵进行变换-Numerical calculation of LU decomposition of the matrix to transform the source code
poisson
- 绝对能用。原理是在0到1上产生随机数，当随机数小于Lamda的负指数时候循环，直到大于等于。记录次数。近似模拟poisson分布-Absolutely can. Principle is in the 0 to 1 to generate random numbers, when the random number is less than the negative exponential Lamda cycle time, until greater than or equal. Reco
chap2_06_RLS
- RLS最小二乘改进算法，能够根据输入输出数据辨识系统参数-Least Squares RLS improved algorithm, the system parameters according to the identification of the input and output data
Excluding-the-error-screen-error
- 根据中误差剔除平面点集误差，拟合平面参数-Excluding the error screen error