资源列表
BP
- 神经网络程序，迭代快速，结果令人满意，用于智能控制-BP artificial intelligence control
JI-QUN-SUAN-FA
- 关于集群算法的，可以实现获得一维数组、二维数组、三维数组的值-On the cluster algorithm, can be one-dimensional array, two-dimensional arrays, three-dimensional array of values
Phase-estimation
- 一种基于软信息的编码辅助的迭代相位估计算法。该法采用载波相位同步、解调和译码联合处理的思想，将译码器输出的码比特的可靠量度直接反馈回估计单元以提高同步的准确度-Based on soft information encoded auxiliary iterative phase estimation algorithm. The method uses carrier phase synchronization, demodulation and decoding process of join
yichuansuanfa
- 研究了两种全局优化算法:遗传算法( Genetic Algorithm , GA) 和模拟退火(Simulated Annealing ,SA) ,并且比较了它们在神经网络优化中的性能。-Study of two global optimization algorithms: genetic algorithm (Genetic Algorithm, GA) and simulated annealing (Simulated Annealing, SA), and compared them
ycsf
- 本篇资料详细地介绍了遗传算法的概念，作用，以及matlab实验-Genetic Algorithm matlab
TwoDimensionalSelforganizingMap
- 该算法实现了二维自组织神经网络的案例,可以直接绘制出神经元的移动过程。-This algorithm impliments the simple NNT， this can be draw the moving of the neural points.
AS-chaos
- 添加混沌调整的Ant-Q模型,对于蚁群算法的参数调有很大帮助-the ant-Q model for ant algorithm added by chaos
sjwl
- 本资料中有两个matlab的神经网络工具箱的应用资料-ArtificialNeuralNetworks matlab
acs-chaos
- 针对蚁群算法的ACS模型进行混沌优化，对于原始蚁群算法是个优化-the ACS model for ant algorithm embedded in chaos
Robot-soccer-simulation-game
- 为了加强足球机器人仿真5V5比赛前场的进攻,文章以增强进攻队员之间的动态协作配合为 出发点,设计了“3+1”的前场进攻队形及其控制算法。 -5V5 soccer robot simulation in order to strengthen the game' s offensive front, the article in order to enhance collaboration between the dynamic offensive player with as a
MFCVega1
- Vega在MFC框架下的开发基础，对于交互开发很有帮助-Vega in the development of MFC based framework for the development of useful interactive
TSP
- 各种优化算法解决经典的TSP问题，不同方法都有其可取之处-Various optimization algorithms to solve the classic TSP problem, different approaches have their merits