SPMSM_1

求mel频率倒谱系数的matlab程序(for mel frequency cepstrum coefficients of Matlab procedures)

In this paper, an attractive approach for teaching genetic algorithm (GA) is pre-sented. This approach is based primarily on using MATLAB in implementing the genetic operators: crossover, mutation and selection. A detailed illustrative example is presented to demonstrate that GA is capable of finding global or near-global optimum solutions of multi-modal functions. An application of GA in designing a robust controller for uncertain control systems is also given to show its potential in designing engineering intelligent systems

BP神经网络：是一种按误差逆传播算法训练的多层前馈网络，是目前应用最广泛的神经网络模型之一。BP网络能学习和存贮大量的输入-输出模式映射关系，而无需事前揭示描述这种映射关系的数学方程。它的学习规则是使用最速下降法，通过反向传播来不断调整网络的权值和阈值，使网络的误差平方和最小。BP神经网络模型拓扑结构包括输入层（input）、隐层(hide layer)和输出层(output layer)。(BP neural network: a Press the front back propagation algorithm to train multilayer feedforward network is one of the most widely used neural network model. BP network can learn and store large amounts of input- output mode mappings without prior reveal mathematical equations that describe this map. It' s learning rule is to use the steepest descent method, through a reverse spread to constantly adjust the network weights and thresholds, so that the minimum squared error of the network. BP neural network topology, including the input layer (input), hidden layer (hide layer) and output layer (output layer).)

说明：  递推增广最小二乘法进行系统辨识；模型参考自适应控制算法；(Model reference adaptive control algorithm)

to help in computer vision ,pattern recognition and machine learning research for grad students in image analysis and computer science works of masters and doctorate

lfda,局部线性判别式分析，可解决多模型数据分布问题(lfda)

zhe ge hen hao yong de dajia laikankan ba (zhe ge de hen hao yong dajia laikankan ba)

matlab读取excel及操作处理，doc格式(matlab read excel and operations processing, doc format)

用双线性变换法设计一个IIR滤波器对心电信号进行处理(Bilinear transformation method of designing an IIR filter to process the ECG)

此程序演示了如何在Matlab中调用Fortran77编写的函数，包含参数虚实结合应该注意的问题。(illustrate how a MATLAB program can call a FORTRAN77 function, passing data to the function, and receiving results from the FORTRAN77 function.)