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MATLAB Simulink Conference 2007_Track2-1

Peak Pealing Algorithm

鱼群算法的matlab工具箱，可在matlab中设定路径进行使用(yuqunsuanfa tool for matlab, fish swarm algorithm matlab toolbox)

基于MATLAB环境下各种常用的插值算法的代码 简单明了 便于初学者学习(Based on MATLAB environment variety of commonly used simple interpolation algorithm code easy for beginners to learn)

说明：  由simulink搭建的前向差分PID控制系统(Simulink erected by the PID control system prior to the difference)

云鹏《矩阵论》第二版的习题精解和同步辅导，作者张凯院、徐仲。 文字版，非扫描。(Solutions for Cheng Yunpeng, Matrix Theory 2nd. Author: Zhang Kai homes, XU Zhong. Text version, non-scanning.)

根据戴维南定理原理，用matlab语言编程实现其计算，使更运算方便(According to the principle of Thevenin theorem, using matlab language programming to achieve its calculation, which is more convenient operation)

QAM数字通信系统仿真程序，包含了发射、调制、编码、信道、解码、解调和接收模块，适合初学者。(QAM digital communication system simulation program, including the launch, modulation, coding, channel decoding, demodulation and receiver module, suitable for beginners.)

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.

背包问题遗传算法matlan主程序集合很有用(Knapsack problem genetic algorithm matlan main collection of useful)