Genetic algorithm procedure is very easy to use. Suitable model for solving the...

c 神经网络遗传算法-c neural network genetic algorithm

中科院的分词动态连接库,不用我说了哈,在国内是大名顶顶哈-CAS-term dynamic link library, I do not have said Kazakhstan, in Kazakhstan after another is Daming

K-均值聚类算法的编程实现。包括逐点聚类和批处理聚类。K－均值聚类的的时间复杂度是n*k*m，其中n为样本数，k为类别数，m为样本维数。这个时间复杂度是相当客观的。因为如果用每秒10亿次的计算机对50个样本采用穷举法分两类，寻找最优，列举一遍约66.7天，分成3类，则要约3500万年。针对算法局部最优的缺点，本人正在编制模拟退火程序进行改进。希望及早奉给大家，倾听高手教诲。-K-means clustering algorithm programming. Point by point, including clustering and clustering batch. K-means clustering of the time complexity of n* k* m, n samples, several types of k, m sample dimension. The time complexity is a very objective. Because if we use one billion times per second the computer using 50 samples of two exhaustive method to find the optimal set out again about 66.7 days, divided into three categories, offering 3,500 years. Local optimal algorithm against the shortcomings, I was prepared simulated annealing process improvements. Early Feng hope for everyone, listen to the master teachings.

支撑向量机算法的一种改进算法，是基于增量学习的算法-Support Vector Machine Algorithm an improved algorithm is based on the incremental learning algorithm

最新的支持向量机工具箱，有了它会很方便 1. Find time to write a proper list of things to do! 2. Documentation. 3. Support Vector Regression. 4. Automated model selection. REFERENCES ========== [1] V.N. Vapnik, "The Nature of Statistical Learning Theory", Springer-Verlag, New York, ISBN 0-387-94559-8, 1995. [2] J. C. Platt, "Fast training of support vector machines using sequential minimal optimization", in Advances in Kernel Methods - Support Vector Learning, (Eds) B. Scholkopf, C. Burges, and A. J. Smola, MIT Press, Cambridge, Massachusetts, chapter 12, pp 185-208, 1999. [3] T. Joachims, "Estimating the Generalization Performance of a SVM Efficiently", LS-8 Report 25, Universitat Dortmund, Fachbereich Informatik, 1999. -The newest work tools of svm,it will be very convenient to have it.

BOLTZMAN（vc＋＋编写的程序神经网络程序）

神经网络OOP类库，含有BP网络等的训练，很容易对其进行扩展，-neural network OOP libraries, containing BP network of training, it is easy to extend them

针对TSP问题，提出了一种改进的遗传算法。在遗传算法中引入进化算法的思想，在此基础上提出顶端培育策略和分阶段策略，以求在保证群体多样性的同时加快收敛速度。-against TSP, an improved genetic algorithms. Genetic Algorithm evolutionary algorithm introduced the idea that the basis of this proposed strategy and cultivating top phased strategy groups in order to ensure diversity at the same time speed up the convergence.

一个简单的遗传算法C++类-a simple genetic algorithm C

神经网络遗传算法的一个简单例子代码，开发神经网络遗传算法的第一步-neural network genetic algorithm code a simple example, the development of neural network genetic algorithm first step