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对混沌现象和特征进行简要描述并用Matlab软件对一个混沌系统进行仿真和分析(Of chaotic phenomena and features a brief description and Matlab software on a chaotic system simulation and analysis)

Matlab中的智能控制代码，输入后修改参数再运行(Intelligent Control of Matlab code, input parameters and then run after the modification)

基于英国舍费尔德大学开发的遗传算法工具箱函数，遗传算法的简单一元函数优化实例(Developed at the University of British Shefeierde based genetic algorithm toolbox function, genetic algorithm optimization of simple examples unary function)

matlab分类工具箱源码，在matlab下运行可以对数据进行多种分类，并有说明文档，可以根据文档进行操作，实现分类。(classification Matlab toolbox source, Matlab can run on a variety of data classification, and documentation, according to documentation for operation, achieving classification.)

matlab - how to draw a map with DEM file on plot :)

说明：  基于OC算法的连续体动力学机构拓扑优化设计代码，值得下载收藏(The code of topology optimization design of continuum dynamics mechanism based on OC algorithm is worth downloading and collecting.)

说明：  深度神经网络在函数近似中表现优越，然而需要从头开始训练。另一方面，贝叶斯方法，像高斯过程（GPs），可以利用利用先验知识在测试阶段进行快速推理。然而，高斯过程的计算量很大，也很难设计出合适的先验。本篇论文中我们提出了一种神经模型，条件神经过程（CNPs），可以结合这两者的优点。CNPs受灵活的随机过程的启发，比如GPs，但是结构是神经网络，并且通过梯度下降训练。CNPs通过很少的数据训练后就可以进行准确的预测，然后扩展到复杂函数和大数据集。我们证明了这个方法在一些典型的机器学习任务上面的的表现和功能，比如回归，分类和图像补全(Deep neural networks perform well in function approximation, but they need to be trained from scratch. On the other hand, Bayesian methods, such as Gauss Process (GPs), can make use of prior knowledge to conduct rapid reasoning in the testing stage. However, the calculation of Gauss process is very heavy, and it is difficult to design a suitable priori. In this paper, we propose a neural model, conditional neural processes (CNPs), which can combine the advantages of both. CNPs are inspired by flexible stochastic processes, such as GPs, but are structured as neural networks and trained by gradient descent. CNPs can predict accurately with very little data training, and then extend to complex functions and large data sets. We demonstrate the performance and functions of this method on some typical machine learning tasks, such as regression, classification and image completion.)

MATLAB 字符工具箱，全，十分好用，大家交流(MATLAB toolbox characters, all very easy to use, to share)

class-d 输出滤波器仿真，classd 输出滤波器计算(class-d filter simulation)

基于BLEmini开发版的UARTsourcecode(BLE CC254x 1.4.0版本UART源码，需要IAR8.30以上才能打开)