CMU的自主机器人的软件开发平台, 应用十分广泛, 基本上已经成为一种近似标准, 比较好用, 希望对开发机器人导航算法方面的人有用...

提出了基于最小化估计的泛化误差界非优化估计方法。目前大多数的核参数选择方法都是通过极小化了来得到最优参数值，但是求解优化问题的计算代价相当的大，并且不能很好地体现数据的分布特征。本文采用非优化技术，通过极小化泛化误差来优化核及相关参数，由于直接计算最小半径和最大间隔，避免了对优化问题的直接求解，因此可以很好地降低计算代价。并且该方法直接从样本出发，可以很好地体现数据的分布特征，不管数据分布是否均匀都可以适用。给出了基于凸包估计的SVM核选择的模型及实现算法。 -Proposed based on minimizing the estimated generalization error bound of the non-optimal estimation method. Most of the nuclear parameter selection methods are to get the best by minimizing the parameter values, but the computational cost for solving optimization problems is quite large, and can not properly reflect the distribution characteristics of the data. In this paper, the non-optimization technology, by minimizing the generalization error to optimize the nuclear and related parameters, due to the direct calculation of the minimum radius and maximum interval, avoiding the direct solution of the optimization problem, it can very well reduce the computation cost. And that the method directly from the sample one can well reflect the distribution chara

数据挖掘中频繁项集挖掘算法，改进了apriori算法，性能提高很多-Data Mining frequent itemsets mining algorithm, improved apriori algorithm, improve the performance of many

遗传免疫是算法的程序 大家可以看看 遗传免疫算法 我也是刚开始学 传上去大家共同学习-Genetic immunization is a method of procedure we will look at the genetic immune algorithm I am also just beginning to learn Chuan-up of common learning

雷达数据预测，包括航迹仿真、卡尔曼滤波等 -radar data projections, including track simulation, Kalman filtering

该程序提供了一个计算机下国际象棋的功能，拥有完全的代码，由matlab编成的很多人工智能的函数，有详细的文档，直接运行chess.m文件即可-The program provides a computer under the functions of chess, with complete code, matlab compiled from many artificial intelligence function, has a detailed document, a document can be directly run chess.m

模式识别分类程序，贝叶斯，神经网络分类训练程序，很不错啊-the classification procedures, Bayesian neural network classifier training procedures, and it is very responds :

神经网络蚁群算法，共三段，非常有用，快来下啊-Ant colony algorithm for neural networks, a total of three sections, very useful

神经网络与遗传结合算法-neural networks and genetic algorithms combine

微分进化算法DE（Differential Evolution）由Storn和Price等学者于1995年首先提出。它是一种基于种群优化的新智能优化方法，它已被证明在求解过程中具有高效性、收敛性、鲁棒性等优点-Differential evolution algorithm DE (Differential Evolution) by Storn and Price and other scholars in 1995, the first place. It is a species based on the optimization of the new intelligent optimization method, which has been proved in the solving process with high efficiency, convergence, robustness, etc.

神经网络程序代码，小小初学，不知甚多，望多多指教。-Neural network program code, little beginner, I do not know a lot, hope the exhibitions.