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matlab符号表达式、符号矩阵的创建、符号线性代数因式分解、展开和简化符号代数方程求解、符号微积分符号微分方程(matlab symbolic expression, the creation of the matrix symbol, symbols, linear algebra factorization, and simplification of symbolic start to solve algebraic equations, symbols, symbol differential calculus)

说明：  matlab实现最优化选择的一个算法，大家可以下下来参考，我也是从别处down的，谢谢原作者(matlab optimize the choice of an algorithm, we can refer to the next down, I am also down elsewhere, thank you, original author)

说明：  潮流计算(matlab)

科学运算语言 MATLAB 的程序设计有关的函数代码(MATLAB scientific computing programming language-related function code)

用于小波分解与重构算法 对于初学者很有用 验证可用(For wavelet decomposition and reconstruction)

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.)

马尔可夫随机场去噪的例子及其Kernel PCA(Markov Random Field Denoising examples and Kernel PCA)

皮肤分割的简单matlab代码，是外国人写的，大家可以参考一下，完善完善(Description Simple matlab program for Skin segmentation MATLAB release MATLAB 7 (R14) Zip File Content Other Files license.txt, Simple Skin segmentation/1.jpg, Simple Skin segmentation/new.m )

It is a matlab file performing Speech detection

路径规划算法,采用人工智能方法模仿机器人通过障碍找到目标(route recognition)