资源列表
GoBang
- 采用c#编程的人机对战的五子棋程序，AI智能采用贪心算法和极大极小值算法，程序有详尽的注释，适合参考-Man-machine war backgammon program using c# programming, AI smart greedy algorithm and minimax algorithm, the program detailed notes for reference
yiyuanhuiguifexi
- 进行一元线性回归分析，分析的模型y=a+bx+e,e服从N(0,sigma平方),以及根据所建的一元线性回归模型进行预测实例-A linear regression analysis, the analysis of the model y = a+bx+e, e obey N (0, sigma squared), and built a linear regression model to predict instance
SwarmFireFly
- 比较全面和系统地介绍萤火虫算法的原理和方法，并给出了比较通用的代码模式，是目前能找到的最全面的萤火虫算法的介绍。-More comprehensive and systematic introduction to the principles and methods of Firefly algorithm, and gives a more generic code mode, the firefly algorithm can find the most comprehensive intr
Sources2
- 基于BP神经网络的纳斯达克指数和道琼斯指数的预测-forecasting of stock index bais of BP neural network
improved-BP-Network-
- 改进的神经BP网络 改进的神经BP网络 改进的神经BP网络-improved BP Network improved BP Networkimproved BP Network improved BP Network
GAQPSO
- 一种结合高斯分布的改进的QPSO,MATLAB 代码，吸引因子使用了高斯分布，加强了代码的全局搜索能力。-A combination of Gaussian distribution improved quantum particle swarm, MATLAB code, attracting factor Gaussian distribution, strengthen the global search capability of the code.
PSO2
- 标准粒子群优化算法优化（PSO），该代码可以解决高纬空间，包括数据的预处理，及边界检查。可以应用到数据聚类，分类等问题。-Standard particle swarm optimization algorithm optimization (PSO), the code can solve the high-latitude space, including pre-processing of the data, and bounds checking. Can be applied to d
DE_Fun01
- 对于一类高维、非光滑及非线性的约束优化问题,传统的搜索方法不能很好地求得全局最优解,而DE算法可以处理这类问题.-For a class of high-dimensional, non-smooth and nonlinear constrained optimization problems, the traditional search methods can not be good global optimal solution, while the DE algorithm can d
6_center
- 自动寻找均匀不规则物体重心程序，显示物体重心坐标-find center of object
With-cross-factor-pso
- 带交叉因子的粒子群优化算法matlab源程序.doc-With cross-factor particle swarm optimization algorithm matlab source code. Doc
cross-factor-pso-and-qpso
- 带交叉算子的量子粒子群优化算法和粒子群算法的matlab源程序.m-QPSO and PSO with crossover operator. MATLAB CODE
lunwen
- 新一代高性能无人机飞控系统的研究与设计 张小林 赵宇博 范力思-I n o r de r t o cau se t he U A V f lig ht co nt r o l sy st e m has t he f o r mida ble da t a- ha ndling ca pa cit y , t h e lo w po we r lo ss , t he st r o ng f le x ibilit y an d a hig he r int e g r at io n