raygen

Ritz法解决-u +u=x 0<x<1，u(0)=0,u(1)=0的有限元边值问题。精确解为u(x)=1/(exp(1)-1/exp(1))*exp(-x)+1/(1/exp(1)-exp(1))*exp(x)+x，基函数为g(i)=sin(i*pi*x)(This matlab code is used to solve the boundary value problem of the differential equation: -u +u=x 0<x<1，u(0)=0,u(1)=0, where the accurate solution is : u(x)=1/(exp(1)-1/exp(1))*exp(-x)+1/(1/exp(1)-exp(1))*exp(x)+x)

遗传算法的编码实现 在MATLAB环境中(Coding Genetic Algorithm in the MATLAB environment)

Returns weighted percentiles of a sample given the weight vector w ％ The idea is to give more emphasis in some examples of data as compared to ％ others by giving more weight. For example, we could give lower weights to ％ the outliers. ％ The motivation to write this function is to compute percentiles for Monte ％ Carlos simulations where some simulations are very bad (in terms of goodness ％ of fit between simulated and actual value) than the others and to give ％ the lower weights based on some goodness of fit criteria.(Returns weighted percentiles of a sample given the weight vector w The idea is to give more emphasis in some examples of data as compared to others by giving more weight. For example, we could give lower weights to the outliers. The motivation to write this function is to compute percentiles for Monte Carlos simulations where some simulations are very bad (in terms of goodness of fit between simulated and actual value) than the others and to give the lower weights based on some goodness of fit criteria .)

support vector data description的matlab代码(support vector data description of the matlab code)

把知识点拆分成块 便于理解和掌握 (Knowledge points to split into pieces easy to understand and master the)

刚出版的关于用MATLAB去仿真mpc在工业控制中的使用,书中有很多实例和源码,非常好的参考书.(Recently published on the mpc simulation using MATLAB to control the industrial use of the book there are many examples and source code, a very good reference book.)

matlab自编整数次傅立叶分解及波形评估(Matlab self Integer Fourier decomposition and Waveform Evaluation)

Simulink simulation of 3 phase faults. Can observe voltage and current dynamics

改进的单神经元自适应PID控制,权系数的再线修正不完全是根据神经网络学习原理(Improved single neuron adaptive PID control, the right to re-line coefficient amendment is not in full accordance with the principle of neural network learning)

Estimates the power spectral densities (PSDs) using both the generalized Ridge Regression (GRR) method [Hoerl, Kennard] and the ordinary RR method with loading level decided by the harmonic mean (HKB) and a Bayesian estimator (LW) for deciding the diagonal loading level.