基于人工神经网络求解TSP问题的论文,很不错.

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.

西安交大出版的王小平的遗传算法的书一个简单遗传算法例子 .-Wang Xiaoping published in the book GA GA a simple example.

Boltzmann Machine Optimization 人工智能人工神经网络源码-Boltzmann Machine Optimization of artificial neural network artificial intelligence source

用于m=2 的机器调度问题，可求出最优解与花费的时间-m = 2 for the machine scheduling problems, the optimal solution can be obtained with the time

这是一个用fortran 实现的BP算法源程序，以及c和 matlab实现BP的源程序。大家可以从各个方面做一个性能的比较-This is a used fortran source realize the BP algorithm, as well as c and matlab realize the source BP. From the U.S. to do all aspects of a performance comparison

bp神经网络对短期电力负荷的预测，一周预测一天，输入是归一过的数据。-bp neural network for short-term load forecast, the forecast one day a week, enter the data have been normalized.

使用于初级使用者.能够直接使用采用最优化算法 遗传算法-use in the primary users. To use the most direct use of genetic algorithm optimization algorithm

这是IBM公司使用的一个生成数据流的源文件代码，对需要生成数据流做实验的朋友很有帮助。-This is IBM" s use of a data stream generated source file code, on the need to generate data flow experiment" s friends helpful.

这是一个解决TSP问题的遗传算法.里面有详细的介绍如何编写遗传算法,很值得参考.-This is a solution of TSP genetic algorithm. Which is described in detail how to prepare genetic algorithm, very good reference.

水平有限，仅供参考！望大家多提宝贵意见！-limited, and for reference purposes only! Hope you will provide more valuable opinions!