GA-knapsack

支持向量机的研究现已成为机器学习领域中的研究热点，其理论基础是Vapnik[3]等提出的统计学习理论。统计学习理论采用结构风险最小化准则，在最小化样本点误差的同时，缩小模型泛化误差的上界，即最小化模型的结构风险，从而提高了模型的泛化能力，这一优点在小样本学习中更为突出。SVM理论正是在这一基础上发展而来的，经过十几年的研究和发展，已开始逐步应用于一些领域。在解决小样本、非线性及高维模式识别问题中表现出许多特有的优势，已经在模式识别、函数逼近和概率密度估计等方面取得了良好的效果。( Support Vector Machine (SVM) is a new machine learning technique in recent years developed based on statistical learning theory (SLT). It wins popularity due to many attractive features and emphatically performance in the fields of nonlinear and high dimensional pattern recognition. The theory and algorithm of SVC is studied at first, then, simulation is to recognize handwritten numeral with the Lib-SVM toolbox. At last, we study the result, which shows that the SVC can do the classification problem with good performance, shorter operation time and is more suitable for real-time implementation.)

particle swarm optimization

FDTD thuậ t toan de giai phuong trinh vi phan dao ham rieng bang phuong phap

用PF和EKF实现了多径参数估计,有很详细的程序说明(Multipath estimation is programed using PF and EKF in matlab. The explanation is detailed )

说明：  将总金额分若干分，分批在各档位建仓，通过高抛低吸不断降低成本获利(The total amount will be divided into several sub-batches in the stalls position is opened by throwing buy low, sell high profit continuously reduce costs)

This function is intended as the "main" program. That is, execution will begin with this function it will receive commandline input from the user and return results to the user.

FCM算法是一种基于划分的聚类算法，它的思想就是使得被划分到同一簇的对象之间相似度最大，而不同簇之间的相似度最小。(FCM algorithm is a clustering algorithm based division, which makes the idea is to be divided among a cluster of objects with the greatest similarity, but the similarity between different clusters is minimized.)

说明：  我强烈的向那些正在做毕设或课设的同学推荐(please use it)

Simulation model report of Wind energy system used in modelling of renewable hybrid energy power system

信号处理的切比雪夫滤波器 十分好用的切比雪夫滤波器(Signal processing Chebyshev filter is very easy to use Chebyshev filter)