萨德

语音识别的MATLAB代码，包括用于测试的语音，实现了利用HMM(隐含马尔可夫)和DTW(动态规划)两种方法的实现。(ASR use HMM and DTW method include wave files use for test and training.)

using matlab to draw antenna beam pattern

high speed networks ebooks sample questions

说明：  交流微电网下垂控制simulink仿真 数据齐全 结果优秀(The simulation data of AC microgrid droop control simulink is complete and the results are excellent)

医学图像的读取,存储及旋转平移的MATLAB语句实现.(medical image read and transformation. )

Matlab应用案例，详细录入各种常见共更能干金额共(Matlab application cases, detailed entry of a variety of common totaling more competent)

卡尔曼滤波器，扩展卡尔曼滤波器，无味卡尔曼滤波器实现，对比(Kalman filter, extended Kalman filter, unscented Kalman filter implementation, compared to)

CEC2010测试函数代码，由C++和Matlab 2010编写而成。(CEC2010 test function code, and by the C++ written in Matlab 2010.)

人工智能（模糊在自动控制的应用）电动机控制中的简单遗传算法PID参数优化(Artificial intelligence (fuzzy in Automatic Control) motor control in the simple genetic algorithm optimization of PID parameters)

BP（Back Propagation）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)。 通过对信息的提取以及记忆，用作分类、聚类、预测等。 (BP (Back Propagation) network is a pre-press error back propagation algorithm Multilayer feedforward network, is one of the most widely used neural network model. BP network can learn and store a large amount of input- output mode mapping without prior reveal mathematical equations that describe the mapping relationship. It s learning rule is to use the steepest descent method, by reverse spread to constantly adjust the network weights and thresholds and the minimum sum of squared error of the network. BP neural network topology comprises an input layer (input), hidden layer (hide layer) and an output layer (output layer). By extracting information and memory, it is used as classification, clustering, prediction.)