神经网络机器人避障matlan仿真程序可以模拟技术。

神经网络已经得到广泛应用，这里是一个模糊神经网络的matlab程序-Neural network has been widely used, there is a fuzzy neural network matlab program

遗传算法的文章- Heredity algorithm article

程序用C语言实现了贝叶斯在数据挖掘中分类和预测中的应用，通过程序可以很好的进行分类和预测。-This program use C language to realize the application of bayes in data mining and forecasting,you can use this program to make a good classification and forecasting

人工智能课程习题与解答-artificial intelligence programs to answer the questions and

《游戏编程中的人工智能技术》一书中6，7章源代码- Game programming in artificial intelligence technology, one source book, Chapter 6,7

遗传算法通用平台- Heredity algorithm general platform

Bayes分类器应用于IRIS数据集的例子-An example of Bayes Classifier applied on IRIS Data Set

《基于MATLAB系统分析与设计－－神经网络》一书的源程序-"based on MATLAB analysis and design-- neural networks," a book of the source

这是一个关于遗传算法的MATLAB程序,用于求某种函数的极值-This is a genetic algorithm on the MATLAB program for a certain function for the Extreme

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