Maple_MATLAB

详细介绍了Simulink工具箱，对于系统仿真很有用(Details the Simulink toolbox it is useful for system simulation)

案例源代码实现，用matlab实现定时器的编程代码。(Case source code, using matlab realize the timer programming code.)

四维状态、二维观测的目标跟踪扩展卡尔曼滤波程序，附有详细的说明,便于新手学习。(The four-state, two-dimensional observation of the target tracking extended Kalman filtering procedures, with detailed instructions, easy for novices to learn.)

MATLAB实例详解，通过对matlab语言如何编程进行实例解析，是学习matlab的很好教程(Detailed MATLAB examples, through the matlab programming language for examples of how to resolve, are studying a very good tutorial matlab)

PSO算法，用matlab，用C++语言的源代码(PSO algorithm, using matlab, using C++language source code)

用MATLAB实现的数字水印的生成和提取(Using MATLAB to achieve the digital watermark generation and extraction)

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.

对拉曼光谱进行归一化，峰值提取以识别峰值特征，定性分析出混合物中的各个物质(Raman spectroscopy was normalized, peak values were extracted to identify peak characteristics, and each substance in the mixture was qualitatively analyzed.)

1 link robot gravity compensated model

计算存在在电力市场的现货市场的现货价格、社会福利(calculate some parameter in spot market)