yinshiguangyiyuce

Hopfield Neural Network

Title: "Modeling Lung Cancer Diagnosis Using Bayesian Network Inference" This demo illustrates a simple Bayesian Network example for exact probabilistic inference using Pearl s message-passing algorithm. Introduction: Bayesian networks (or belief networks) are probabilistic graphical models representing a set of variables and their dependencies. The graphical nature of Bayesian networks and the ability of describing uncertainty of complex relationships in a compact manner provide a method for modelling almost any type of data.

该系统使用极其简便，即使 你对各种网络模型不是很深刻的了解，也可以很好的使用该系统。使用时， 你可以自己修改网络的各种参数，交互性较好，而且该系统通过大量的图示 及参数设置，可以让你了解每个应用实例实现的过程及详细步骤。(The system is extremely easy to use, even if you have to various network model is not very profound understanding can be a good use of the system. When used, you can change the network's own parameters, interactive better, but the system through a lot of icon and parameter settings, so you can understand each application process and the realization of detailed steps.)

机器学习简介,特别的时候新手查看，受益匪浅。上传于2017年底，简单易懂。(machine learning method. introduced the CNN basic idea and how to use it and when to use it. Very useful for new guys)

project DSSS use matlab

专业论文，非规则数据场体绘制技术的研究，对如何利用IDL做有限元分析有一定帮助(Professional papers, irregular data volume rendering techniques, but on how to use IDL to do finite element analysis has some help)

说明：  这是一个wiener滤波程序，对语音信号滤波。里面有详细的word文档说明(This is a wiener filtering process to filter the speech signal. There are detailed notes word document)

关于调频解调的部分程序，希望对大家有所帮助，谢谢 (FM demodulation on the part of the process, and I hope to help you, thank you)

pwm控制模块，可以仿真太阳能电池的采样点输入(PWM control module, can simulate the solar cell sampling input)

The function alphaBetaFilter implements a generic algorithm for an alpha-beta filter that is a linear state estimation for position and velocity given an observed data. It acts like a smoothing. Also closely related to Kalman filters and to linear state observers used in control theory. Its principal advantage is that it does not require a detailed system model.