非线性程序之模式识别与控制系统设计.

神经网络lvq算法程序-neural network algorithm procedures lvq

本程序可以对输入.avi 序列中的车辆数进行计算，准确性非常高，是一个值得参考的代码:)-This procedure can be input. Avi sequence to calculate the number of vehicles, accuracy is very high, is a reference to the code:)

神经网络程序设计，遗传算法-neural network programming, genetic algorithm

基于canny的灰色预测和模式识别,标定的一种做法是：在一块平板上画若干个点， 同时用这两部相机照相，分别得到这些点在它们像平面上的像点，利用这两组像点的几何关系就可以得到这两部相机的相对位置。然而，无论在物平面或像平面上我们都无法直接得到没有几何尺寸的“点”。实际的做法是在物平面上画若干个圆（称为靶标），它们的圆心就是几何的点了。而它们的像一般会变形，如图1所示，所以必须从靶标上的这些圆的像中把圆心的像精确地找到，标定就可实现。-Based on the gray canny prediction and pattern recognition, calibration approach is to: a plate painted in a number of points, at the same time with these two cameras camera, respectively, as these points in their plane as points, the use of these two groups geometric relationship between the image point can be that the relative positions of two cameras. However, in terms of objects such as plane or plane, we can not directly be no geometry point. Actual practice is complex plane painted in a number of round (known as targets), their geometric center of a circle is the point. And they generally like deformation, as shown in Figure 1, it must target these round, like in the center of a circle of like to find precise, calibration can achieve.

使用蚁群算法解决旅行商问题，mfc应用程序，城市数目及坐标在eil51.tsp里-use ant algorithm to solve the traveling salesman problem, and mfc applications, The number of cities and coordinates the eil51.tsp Lane

C++神经网络开发包ANNIE，可以用C++语言开发各种神经网络：如BP，RBF，HOPFIELD等，同时随附件带有基于VC和.NET环境的示例源程序 -C neural network development kits 8am, the C language can be used to develop a variety of neural networks : as BP, RBF, Hopfield, along with the annex and with VC.NET environment example source

神经网络机器人避障matlan仿真程序 可模拟机器人在空间的避障动作-Neural Network Robot Obstacle Avoidance matlan simulation program can simulate the robot moves in space, obstacle avoidance

这是bs球队的仿真2D比赛程序，其中的智能算法和强化学习算法值得借鉴。-This is bs tournament team 2D simulation procedure, in which intelligent algorithms and reinforcement learning algorithm is worth learning from.

灰色预测模型称为CM模型，G为grey的第一个字母，M为model的第一个字母。GM（1，1）表示一阶的，一个变量的微分方程型预测模型。GM（1，1）是一阶单序列的线性动态模型，主要用于时间序列预测。 一、GM（1，1）建模 设有数列 共有 个观察值 对 作累加生成，得到新的数列 灰色理论与模型及在车辆拥有量预测中的应用 灰色神经网络交通事故预测比较 灰色系统(第三版)-projections Gray (No. Third Edition)

这是一个关于遗传算法的程序，包括了算法的各个过程，其实我对遗传算法也不很懂，也是刚刚开始学习阶段，希望一起进步-This is a genetic algorithm on the procedures, including all the process of the algorithm, in fact, I do not很懂of genetic algorithm, is just the beginning stages of learning, hope and progress together