治疗基于代表点的聚类算法，一个数据挖掘算法…

介绍了神经 网络中的BPN算法的C语言实现.-Introduce a neural network BPN algorithm C language.

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

netlogo实现的二元货物的模拟仿真模型-netlogo to achieve the dual cargo simulation model

这个是脉冲耦合神经网络在边缘检测中的应用，脉冲耦合神经网络是第三代神经网络，天生就具有图像处理的优势。-This is a Pulse-Coupled Neural Networks in Edge Detection, pulse coupled neural network is the third generation of neural networks, image processing inherently advantage.

自己用JAVA编的人工智能的A*算法的八数码程序-own use JAVA series of the artificial intelligence of the A* algorithm eight digital procedures

有关优化的遗传算法-the genetic algorithm optimization

这是一个用OPENGL和VC++作的人工智能程序,大家可以借鉴一下-This is a VC with OpenGL and artificial intelligence for the procedure, we can learn from this

遗传算法在TSP中的应用的原代码， 具体的代码见内。-Genetic algorithm source code applies in TSP with detailed code

用Delphi语言编写的遗传算法，内容较多，可以参考-Delphi language prepared by the genetic algorithm, a great deal of content, they can refer to

用VC编制的集成的野人和八数码演示程序。其中野人程序用动态的效果演示，并能设置进度。八数码程序能根据给出的源状态转换成目标状态。-VC establishment of integrated Savage and eight digital presentations. Savage procedures which use dynamic demonstration effect, and can be programmed to progress. Eight digital process according to the source is converted into a state target state.