遗传算法的matlab实现，举例说明遗传算法的基本实现步骤，适用于初学者...

编程的 BP算法并行,很好,值得下载,详细的介绍了BP算法-Of the BP algorithm for parallel programming, well worth downloading and detailed description of the BP algorithm for

隐马尔科夫模型工具箱最新版本，可以广泛应用于识别等领域-HMM Toolbox latest version can be widely applied in areas such as identification

基本的BP神经网络框架，比较适用于初学者快速掌握神经网络的构成。-basic framework BP neural network, suitable for beginners to grasp the composition of neural networks.

vb写的改进的遗传算法程序。是一些通用代码，与具体问题对应的代码空出来，用的时候填进去。根据我的经验，要想用好遗传算法，代码必须自己写，因为问题不同，编码，杂交，变异算子可能都不一样。特别是杂交算子，需要根据问题调整，甚至创造出新的杂交方法。而且适应度计算的代码也需要自己写，特别是带约束的优化问题 -vb write improvement in the genetic algorithm. Some common code, with the specific issues the corresponding code space, and the time spent filling into account. According to my experience, in order to make good use of genetic algorithms, code must write their own, because different issues, coding, hybridization and mutation operator may not like. In particular hybrid operator, the need to adjust the problem, or even create a new hybrid method. But fitness calculation of the code required to write their own, especially with the constrained optimization problem

这是bs球队的仿真2D比赛程序，其中的智能算法和强化学习算法值得借鉴。-This is bs tournament team 2D simulation procedure, in which intelligent algorithms and reinforcement learning algorithm is worth learning from.

基于CPN人工神经网络的例子，供大家交流-CPN-based artificial neural network example, for U.S. exchanges

神 经 网 络 资 料-neural network data

本人编写的QR分解的神经网络算法，该算法用QR分解神经网络的隐含层矩阵，可以作为学术上的比较和分析。适合各种benchmark问题，本人还加了自动产生分类向量和自动适应各种函数的例子-I prepared the QR decomposition of neural network algorithm using QR decomposition neural network hidden layer matrix, can be used as an academic comparison and analysis. Suitable for a variety of benchmark problems, I also added automatically generated classification and automatic vector function to adapt to a variety of examples

神经网络的相关应用项目-neural network-related application projects

C++神经网络开发包ANNIE，可以用C++语言开发各种神经网络：如BP，RBF，HOPFIELD等，同时随附件带有基于VC和.NET环境的示例源程序 -C neural network development kits 8am, the C language can be used to develop a variety of neural networks : as BP, RBF, Hopfield, along with the annex and with VC.NET environment example source