xmlphone.pdf

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.

To find the vanishing point in an image.

这个是Preisach模型的基本模块，Jenkin的源代码。这种基本算子的线性组合就构成了preisach模型。(This is the basic module of the Preisach model, Jenkin' s source code. A linear combination of this basic operator constitutes the preisach model.)

一种基于3D_ESPRIT的散射中心参数估计算法_温晓杨(A 3D-ESPRIT Method for Radar Target Scattering Centers Parameters Estimation)

2013年全国大学生数学建模本科组B题：采用Matlab软件编程，程序易理解，类似C(2013 National Undergraduate Students' Mathematical Modeling Group B title: using Matlab software programming, the program is easy to understand, similar to the C)

band pass filter 过滤器 matlab(band pass filter matlab)

Plots Constellation difference between the ideal and TDSCDMA

基于matlab的听觉模型工具箱，包括常见的集中耳膜模型等等。(Auditory model based on matlab toolbox, including the common model, and so the concentration of the eardrum.)

Chaos game representation of gene structure

simulation pv mppt buck avec Simulink