sinc

image segmentation in multiobjects

用Matlab编写的关于Volterra级数算法的程序，有正在研究Volterra级数的可以看看并提出改进意见，THk(Using Matlab prepared on the Volterra series algorithm procedures, there are studies Volterra series can look and suggest improvements, THk)

matlab 编写的分形程序. 希望有用(fractal)

SCDMA多用户的程序代码 大家可以参考一下(SCDMA multi-user program code we can refer to)

改进型的蚁群算法，能够快速求解多目标规划(Improved ant colony algorithm, fast multi-objective planning)

基于Matlab-Simulink仿真的双闭环直流调速系统的设计与研究 如题,设计要求、设计公式及计算过程比较清晰,格式也是按照标准设置的,正文限于公式编辑的格式,排版不是太完美(Design and Research of Matlab-Simulink simulation of double-loop DC speed control system, such as the title, design requirements, design formulas and calculation process is relatively clear, but also in accordance with the standards set by the format, text format is limited to a formula editing, typesetting is not perfect)

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.)

小波神经网络研究的进展及及于rbf算法结合，希望可以抛砖引玉(Wavelet neural network and the progress of the studies and rbf algorithm in combination, hoping to start)

最速下降法，用于计算机，数值方法的实现，需调试再用，谢谢大家(steepest descent method)

自己用matlab编写的kalman filter程序，程序注释清晰，便于初学者学习(Their use of kalman filter in matlab preparation procedures, procedures notes clear and easy for beginners to learn)