rfft

通过稳态图来识别对机械机构的振动信号，用有理分式多项式法进行模态参数识别(By steady-state map to identify rational fraction polynomial method of mechanical vibration signal, modal parameter identification)

An important aspect of an ANN model is whether it needs guidance in learning or not. Based on the way they learn, all artificial neural networks can be divided into two learning categories - supervised and unsupervised. • In supervised learning, a desired output result for each input vector is required when the network is trained. An ANN of the supervised learning type, such as the multi-layer perceptron, uses the target result to guide the formation of the neural parameters. It is thus possible to make the neural network learn the behavior of the process under study. • In unsupervised learning, the training of the network is entirely data-driven and no target results for the input data vectors are provided. An ANN of the unsupervised learning type, such as the self-organizing map, can be used for clustering the input data and find features inherent to the problem.

自适应模糊神经网络的一个模型matlab语言实现(ANFIS_BP-master Substractive clustering algorithm)

计算任意时刻月球在惯性空间的位置和在J2000坐标系下的位置(compute the position of the Moon)

count cycles in graph

moteur asynchrone simulation mli

以捷联惯性导航系统为主，添加里程计、卫星成为组合导航的半实物仿真程序(integrated navigation)

说明：  此程序给出一个简单的粒子滤波编程，通过一个简单的例子来分析粒子滤波算法与EKF算法的性能(This program gives a simple particle filter programming, through a simple example to analyze the particle filter algorithm with the performance of EKF)

该书介绍了MATLAB关于工作环境、图形处理、数学函数等方面的命令集。(The book, a MATLAB on the working environment, graphics processing, mathematical functions, etc. command set.)

for fiber focus ratio degradation