Hopfield 网――擅长于联想记忆与解迷路 实现H网联想记忆的关键，是使被记忆的模式样本对应网络能量函数的极小值。 设有M个N维记忆模式，通过对网络N个神经

自己用swarm开发的一个车辆跟驰的模型，希望能跟广大爱好者共同探讨。-own use development of a swarm of vehicles- following model, the majority of fans are able to explore together.

JAVA版的蚂蚁算法(Ant Colony Optimization Algorithms) -JAVA version of the ant algorithm (Ant Colony Optimization Algorithms)

我最近写的一篇论文的源码，主要是对带参考信号的 ICA算法的扩展，多参考信号的ICA固定点算法。-I recently wrote a paper source, mainly for reference signal with the ICA algorithm expansion more reference signal ICA fixed-point algorithms.

PSO算法求解带约束优化问题，包含所有源程序和运算图片。写论文是编的。-PSO algorithm for solving constrained optimization problems, including all source code and the computing picture. Writing papers is made of.

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

Eigenface and Fisherface Performance Across Pose

一个简单的HOPFIELD神经网络C语言源代码，其中RELESDE为可执行文件-a simple Hopfield neural network C language source code, which RELESDE executable

一种支持向量机多专家决策算法，很有参考价值-a support vector machine algorithm experts, great reference value

模式识别的中科院的课件，对学习或考试都很有帮助-Pattern Recognition, Chinese Academy of Sciences of the courseware, learning or examination are helpful

Code for Truth Maintenance System in Artificial Intelligence.-Code for Truth Maintenance System in Artificial Intelligence.