Bdataoperation

基于FLUENT_MATLAB接口的分布参数系统闭环控制仿真(FLUENT_MATLAB interface based on the distribution of closed-loop control system simulation parameters)

matlab编程：主要是对gngauss函数定义介绍(matlab Program：Mainly for gngauss function definitions introduced)

我编写的MATLAB程序，刚开始学些数据挖掘的只是，是分类的 LSXLzG 算法中的k均值聚类算法，模式识别大作业，在MATLAB ztjgIKe环境下，性能优良。(I write MATLAB program, just started to learn some data mining only, is LSXLzG classification algorithm in the k-means clustering algorithm, pattern recognition large operations in MATLAB ztjgIKe environment, excellent performance.)

MATLAB小程序 可以试试 谢谢大家支持 多多帮助(MATLAB program can try a small)

LFM ( Linear FM ) signal Source for simulation of radar

HOUGH变换及用于SAR动目标检测的matlab程序！(HOUGH Transform and its implemention in the SAR moving target detection )

是关于雷达系统的代码，主要用于构建基本雷达系统并通过该程序生成的仿真结果进行操作(Code on the radar system, mainly used to build a basic radar system and the simulation results generated by the program to operate)

采用matlab来检测肤色区域，其他区域置为灰色，一个很简单的程序，基于RGB颜色空间(skin color detection)

窗函数法设计一个数字带通FIR滤波器，进行逐步线性回归，意信号卷积的运算,并且绘制图象。( A window function design FIR digital band-pass filter, Stepwise linear regression, Convolution operation is intended to signal and image rendering.)

说明：  一个双向LSTM程序 Long Short Term 网络—— 一般就叫做 LSTM ——是一种 RNN 特殊的类型，可以学习长期依赖信息。LSTM 由Hochreiter & Schmidhuber (1997)提出，并在近期被Alex Graves进行了改良和推广。在很多问题，LSTM 都取得相当巨大的成功，并得到了广泛的使用。 LSTM 通过刻意的设计来避免长期依赖问题。记住长期的信息在实践中是 LSTM 的默认行为，而非需要付出很大代价才能获得的能力！ 所有 RNN 都具有一种重复神经网络模块的链式的形式。在标准的 RNN 中，这个重复的模块只有一个非常简单的结构，例如一个 tanh 层。(A bidirectional LSTM program Long short term network, commonly known as LSTM, is a special type of RNN that can learn long-term dependent information. LSTM was proposed by Hochreiter & schmidhuber (1997) and recently improved and promoted by Alex graves. In many problems, LSTM has achieved great success and has been widely used. LSTM is designed to avoid long-term dependency. Remember that long-term information is the default behavior of LSTM in practice, not the ability to acquire it at a great cost! All RNNs have a chained form of repetitive neural network modules. In the standard RNN, this repetitive module has only a very simple structure, such as a tanh layer.)