hill-climbing algorithm 爬山算法简介 参考链接: Hill爬山算法 简介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。 算法: function HILL-CLIMBING(problem) returns a state that is a local maximum inputs: problem, a pro...
hillclimbing algorithm即爬山算法。这是一种局部搜索算法，用于寻找给定问题的最优解。以下是关于爬山算法的简要介绍：基本思想：该算法从某个初始解开始，不断搜索当前解的邻域，选择其中最优的解作为新的当前解，直到达到某个停止条件。特点：爬山算法实现简单，易于理解，但由于其只关注当前解的邻域，因...
hill-climbing algorithm 英 [hɪl ˈklaɪmɪŋ ˈælɡərɪðəm] 美 [hɪl ˈklaɪmɪŋ ˈælɡərɪðəm]网络 攀登演算法; 爬山算法 ...
网络释义 1. 爬山算法 并且使用爬山算法(hill-climbing algorithm)检测吞吐量,判断是否能够通过更多的线程来完成更多的工作项。这个算法的判断 …zzk.cnblogs.com|基于17个网页 例句 释义: 全部,爬山算法 更多例句筛选 1. finally, the hill-climbing algorithm is used as automatic focusing control strategies. ...
hill-climbing algorithm 英文hill-climbing algorithm 中文【计】 爬山算法
Sign up with one click: Facebook Twitter Google Share on Facebook hill climbing (redirected fromHill-climbing algorithm) hill climbing (algorithm) Agraphsearchalgorithmwhere the current path is extended with a successor node which is closer to the solution than the end of the current path. ...
algorithm n. 运算法则;算法,演算法;演示 climbing frame n. (儿童玩的)攀缘架,肋木架 rock climbing n. 攀登岩壁,爬岩术 semi climbing adj. 半爬的 mountain climbing 攀岩 tendril climbing n. 卷须状物 最新单词 imbibition pressure怎么翻译及发音 浸渗压,吸涨压 imbedding tool的中文解释 埋线器...
Bond crackahigh-tech safewithahill-climbingalgorithm • Write haiku poems using Markov Chain... tools that you'll use every day.Andtokeep things interesting, each project includesazany twist Reinforcement Learning:Policy Gradient Actor-Critic PolicyGradientIntroduction 上一节说的是valuefunctionapproxim...
Makinouchi, "Hill- climbing algorithm for efficient color-based image segmentation," IASTED Int. Conf. on Signal Processing, Pattern Recognition and Applications (SPPRA), pp. 404-409, June 2003.Ohashi T, Aghbari Z, Makinouchi A (2003) Hill-climbing algorithm for efficient color-based image ...
3. Introduction to the Simple Hill-Climbing Algorithm In Hill-Climbing technique, starting at the base of a hill, we walk upwards until we reach the top of the hill. In other words, we start with initial state and we keep improving the solution until its optimal. ...