在C语言程序的SOM神经网络算法可以对初学者理解…

我自己编写的A*搜索算法，效率还是很不错的，推荐。-myself prepared by the A* search algorithm, the efficiency is still very good and recommended.

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

BP人工神经网络算法的实现，用java代码编写，案例是港口吞吐量预测。

背包问题的遗传算法解法-knapsack problem Genetic Algorithm Solution

一个采用VC编写的神经网络源代码，供大家参考。-VC prepared using a neural network source code for reference.

IEEE中关于MRI脑图像模糊分割的相关文章，2007-2008年度最新-IEEE on MRI fuzzy segmentation of brain images related article ,2007-2008 annual update

这是一个简单的GA代码，为新手用户提供参考

用Fast BP实现复杂的函数逼近,对初学者有一定的帮助,是在BP的基础上增加了R.-Fast BP achieved with a complex function approximation, there is some help for beginners, is based on the BP increase in R.

一套从入门到精通的Matlab学习教材，附有大量例子，包括神经网络源代码-a proficient from entry to the study and teaching of Matlab, with a large number of examples, including source code neural network

一个关于指向插补和曲线插补的程序，本程序有一个菜单可以选择，曲线插补是哦可以选择是顺时针或者逆时针-On the point interpolation and curve interpolation procedure, this procedure can select a menu, curve interpolation is to choose Oh, is clockwise or counter-clockwise