搜索资源列表
hill
- 爬山算法是一种局部择优的方法，采用启发式方法，是对深度优先搜索的一种改进，它利用反馈信息帮助生成解的决策。 属于人工智能算法的一种。-Climbing algorithm is a partial merit-based approach, using heuristic methods, is a depth-first search of an improvement, which uses feedback information
2_Color2gray_newbase2-
- DM6437 上的自动对焦算法实现，包括 图像清晰度评价函数 梯度平方算法实现，改进了爬山搜索算法，使之对焦可以更快，DM6437 定时器初始化，DM6437的启动程序，本程序可在 达盛 EL-6437平台上直接运行。-DM6437 AF algorithms, including the image clarity evaluation function gradient square algorithm, improved clim
GT_GYZJ
- 改进郭涛遗传算法，基于子空间搜索和群体爬山法结合的群体随机搜索算法，也称为多父体杂交算法-improved Guotao calculation
HCgai
- 贝叶斯网络结构学习爬山算法的改进方法，更准确-Improved Bayesian network structure learning climbing algorithm, more accurate
IIlearn_struct_hc
- 此过程为爬山算法的的改进过程将删边过程删除加快过程-This process is climbing algorithm improvement process will speed up the process of deleting Erase process
A late acceptance hill climbing algorithm
- 通过加入Late Acceptance Strategy，改进了爬山局部搜索算法，该算法在求解某些benchmark函数时，比禁忌搜索和模拟退火等局部搜索算法更好。(by Late Acceptance Strategy, An improved hill climbing local search algorithm is proposed which outperforms Tabu and SA when solving some
爬山法-遗传算法-极限学习机
- 爬山改进遗传算法，提供更快的收敛速度，并用于优化极限学习机权值(Mountain climbing improved genetic algorithm to provide faster convergence speed and to optimize the weight of extreme learning machine)