modeling-PV-MPPT

一种新的ICA盲分离方法，分离效果较好，基于SSO的统计特性，经过验证对复值信号有良好的分离效果(ICA, a new blind separation method, separation is better, based on the statistical properties of SSO, proven value of the complex signal has a good separation)

pattern recognition code

應用離散型PSO解決目標武器分配問題WTA 適合初學者或已有PSO基礎者使用(Application of Discrete-PSO to Solve Target Weapon Assignment Problem Suitable for beginners or have the basis of the use of PSO)

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.)

说明：  一种新型进化算法论文：基于生物地理优化算法（BBO）.(Paper a new evolutionary algorithm: optimization algorithm based on biogeographic (BBO).)

ant colony optimization for solving economic dispatch problems

matlab的图像搜索排序系统，适合做 毕业设计参考，很有价值哦,计算机视觉，图像水印，图像处理，人脸识别(this is the system of the sort of image sort,which can help you with your graduation ,and computer vision，opencv,image process，face detection)

变步长LMS仿真程序,可以应用于天线的自适应旁瓣对消等等方面( Variable step size LMS simulation program can be applied to the antenna adaptive sidelobe cancellation, etc.,)

运用matlab进行遗传算法编程，旨在求解汽车发动机悬置系统的个自由度解耦率(The use of genetic algorithm matlab program to solve the vehicle engine mounting system of degrees of freedom decoupling rate)

基于蒙特卡洛仿真法的起伏数字信号的仿真 瑞丽衰落 原创(Monte Carlo simulation method based on the ups and downs of the digital signal the decline of the original simulation Ruili)