matlab

数字信号处理工具箱，常用的函数,希望对大家有帮助(DSP)

说明：  Matlab语言常用算法程序集.rar 里面有很多有用的Matlab数值运算示例程序 值得参考！(Matlab language commonly used algorithm for assembly. Rar there are many useful examples of Matlab procedures for numerical computation it is also useful!)

对构件进行优化分析时，需要将其剖分成四面体网格单元，本源码可以用来求每一个小四面体的刚度矩阵(Optimization analysis of the components need to be partitioned into tetrahedral grid cell, the source can be used to seek the stiffness matrix of each small tetrahedron)

matlab中画地震图件的子程序源代码，对物探人员很有用。(Matlab in picture seismic datum of source code, useful for geophysical prospecting personnel.)

anfis tutorial and some basic in use in matlab.

Matlab application for breast cancer detection. Also included .names and .data with more than 200 cases.

This is a matlab code of MTE protocol that simulates the life of the sensor network.

Beamforming or spatial filtering is a signal processing technique used in sensor arrays for directional signal

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.)

完全图哈密尔顿圈的遗传模拟退火算法matlab通用源程序(Complete graph Hamiltonian cycle common genetic simulated annealing algorithm matlab source)