Genetic algorithm, said implementation of the real, to share with you about. Pra...

图像分割的实例程序，其中的CDib类可以直接应用于其他的图像处理程序。-examples of image segmentation procedures, which the CDib categories can be directly applied to other image processing.

加了动量项和域值，比较好用的bp网络算法-added value items and Victoria, better quality bp Network

基于MATLAB完成的神经网络源程序 大家-Based on the MATLAB neural network to complete the U.S. source

模拟退火算法实验，使用MATLAB实现。-The simulated annealing algorithm, using MATLAB experiment.

基于贝叶斯的数据挖掘算法的实现,使用visual stutio2005编程实现。-Bayesian data mining algorithm, using the visual stutio2005 programming.

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.

遗传算法程序，是用java编写的，适合学习最优化的朋友来作为参考-Genetic Algorithm is used in the preparation of java, the most suitable learning optimized reference to a friend

遗传算法 遗传算法简称GA(Genetic Algorithm)，在本质上是一种不依赖具体问题的直接搜索方法。遗传算法在模式识别、神经网络、图像处理、机器学习、工业优化控制、自适应控制、生物科学、社会科学等方面都得到应用。在人工智能研究中，现在人们认为“遗传算法、自适应系统、细胞自动机、混沌理论与人工智能一样，都是对今后十年的计算技术有重大影响的关键技术”。-Referred to as genetic algorithm genetic algorithm GA (Genetic Algorithm), in essence is a kind of do not rely on specific issues of direct search method. Genetic algorithm in pattern recognition, neural networks, image processing, machine learning, optimization of industrial control, adaptive control, biological sciences, social sciences and so on have been applied. Research in artificial intelligence, now that the " genetic algorithms, adaptive systems, cellular automata, chaos theory and artificial intelligence, are the next ten years of the computing technology have a major impact on the key technology."

一个用c++builder实现的神经网络算法的程序-c builder with a realization of the neural network algorithm for the procedure

搜索文章中的文字 更快找到符合要求的内容-English text article more quickly find the content to meet the requirements