Genetic Algorithms in Artificial Intelligence the authority of books suitable fo...

一组老外编写的神经网络源代码，非常值得收藏和研究。有BPN、ART1、ADALINE、SOM、CPN、HOPFIELD、BOLTZMAN等神经网络。吐血推荐在进行神经网络编程的朋友下载。 -a group of foreigners prepared neural network source code is very worthwhile collection and research. There are 7.82, ART1, ADALINE, SOM, CPN, Hopfield, BOLTZMAN such as neural networks. Suggest to vomit blood during neural network programming downloaded friends.

这是用Fortran实现的bp算法程序，供大家自学参-This is achieved using Fortran bp algorithm, for your self-Participation

详细介绍了人工智能在故障诊断中的应用 有实例-Details of the artificial intelligence in fault diagnosis are examples of

专家系统课程设计,用计算机解决SP先生谜题,有详细代码-curriculum design expert system, computer SP Mr. Mystery solved a detailed code

BP算法C++的BP算法源程序 BP算法C++的BP算法源程序 -BP algorithm C BP algorithm source algorithm C BP BP algorithm source code

很管用的GIS控件，对于进行GIS开发的人员很有帮助，第一次发请多关照-very effective GIS component for GIS development for the staff helpful, first made news conference for the

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

用的VC6编的可以识别联机数字，联机英文，及联机汉字-the VC6 series of the figures can be identified on-line, on-line English, and Chinese characters on-line

模式识别工具包，有很多模式识别的算法，可以在matlab中调用-Pattern recognition tool kit, there are many pattern recognition algorithms, you can call matlab

决策树 C45Rule-PANE算法 解决了决策的问题,是从QUILAN算法修改而成-Decision Tree C45Rule- PANE algorithm to solve the problem of decision-making, from QUILAN algorithm revisions