预测中的铬

模仿人眼的视觉注意机制，以图像中的稀少点和对比度为特征，求出视觉注意点。(Mimic the human eye visual attention mechanism to image point and a contrast ratio of rare characteristics, find the point of visual attention.)

编写的有关解方程的函数，初学者可以参考！！！(Solving equations)

在matlab开发环境下实现m-shift图像目标跟踪算法，其中还有一篇比较好的参照论文(Development environment in the matlab m-shift image to achieve target tracking algorithm, of which there are a good reference paper)

神经网络的ELM算法，比传统的BP和SVM都快，而且效果也很精确。运行平台是matlab，本人已经对原始ELM做了修改，可以适应多种函数，而且在数据处理方面自动产生分类矩阵。(ELM neural network algorithm, than the traditional BP and SVM faster, but the effect is also very accurate. Platform is running matlab, I have to do the original ELM been modified to adapt to a variety of functions, but also in data processing is automatically generated classification matrix.)

马尔科夫链的Matlab源程序,求解多目标优化问题所得结果是一个优化解集,求解多目标优化问题所得结果是一个优化解集(Markov chain Matlab source, multi-objective optimization problem the result is an optimized solution set for solving multi-objective optimization problem the result is an optimized solution set)

Dental xray and photograph based identification system

说明：  ALO 算法核心思想是模拟蚁狮捕猎蚂蚁的狩猎机制以实现全局寻优。蚁狮在捕猎前会在在沙质土中利用其巨大的下颚挖出一个漏斗状的陷阱，并藏在陷阱底部等待猎物到来。一旦随机游走的蚂蚁落入陷阱时，蚁狮迅速将其捕食，随后重新修缮陷阱等待下一次捕猎。(The core idea of the ALO algorithm is to simulate the hunting mechanism of the ant lion hunting ants to achieve global optimization. Before hunting, the ant lion will use its huge jaw to dig a funnel-shaped trap in the sandy soil and hide at the bottom of the trap to wait for the prey to arrive. Once the randomly-wandering ants fall into the trap, the ant lion quickly preys on it, and then repairs the trap to wait for the next hunt. The ALO algorithm realizes the interaction between the ants and the ant lion through numerical simulation to optimize the problem: introduces the random walk of the ants to realize the global search, and guarantees the diversity of the population and the optimization performance of the algorithm through the roulette strategy and the elite strategy. Antlion is equivalent to the solution of the optimization problem. It can update and save the approximate optimal solution by hunting ants with high fitness.)

classic controller for uav

四分之一的汽车悬架模型simulink的s-function函数(Quarter of the vehicle suspension model)

este es un fitro butterwor muy conveniente para el uso en ingenieria electronica y mas aplicaciones