启发式搜索技术

启发式搜索技术启发式搜索技术
  1. 状态空间启发式搜索技术在模式识别中的应用

    The applications of state space heuristic search technique in pattern recognition

  2. 分析了车辆路线导航系统的特点,采用启发式搜索技术,提高了算法效率。

    Based on the analysis of optimal route guidance theory , a high efficient implementation method of hierarchical searching algorithm is proposed .

  3. 这个算法以布线平面上的障碍信息为基础,采用了人工智能中的启发式搜索技术,时空效率很高。

    On the basis of obstruction information on a routing plane , this router has a high efficiency in time and and space by using the heuristic technique in artificial intelligence .

  4. 用人工智能中的启发式搜索技术和大系统理论中的具有全局反馈的直接协调法制定注水系统的优化运行方案。

    At last we make the optimal running scheme of water network system based on heuristic search technique of artificial intelligence and global feedback immediate coordination method of large scale system theory .

  5. FNN是一种重要的神经网络结构,混合遗传算法是一种正在兴起的启发式随机搜索技术,两者在智能优化中得到了广泛的应用。

    FNN is an important neural network structure . Hybrid genetic algorithms is a heuristic random search technology springing up . Both are used widely in intelligence optimization .

  6. 算法基于非线性规划理论和启发式智能搜索技术,采用随机A扩展树法保证优化的全局性,并利用逐步二次规划法(SQP)来保证结果的局部数值精确性。

    Based on the nonlinear programming theory and the heuristic intelligent search technique , the novel algorithm uses the Randomized A Tress Expansion method to guarantee the global optimization , and the Sequential Quadratic Programming method to achieve the local numerical accuracy of results .

  7. 在该系统中,使用了扩充的有限自动机和启发式搜索等技术。

    The system includes a extended finite automata and heuristic search technique .

  8. 还采用启发式搜索等技术提高算法的速度,取得较好的效果。

    This paper adopts an heuristic search technique to improve the algorithms on their speed .

  9. 本文以一类两级多品种加工过程的生产调度为背景,提出了一种将人工智能的启发式搜索优化技术与专家经验规则相结合的专家系统。

    Based on the combination of AI heuristic search optimization method and human expertise rules , this paper addresses the development of an expert system for production scheduling problem in a two-stage multi-product process .

  10. 本文研究了启发式搜索中加权技术。

    This paper studies the weighting techniques in heuristic search .

  11. 启发式搜索中加权技术的研究

    A study of weighting techniques in heuristic search

  12. 随后通过引入启发式搜索思想及PageRank技术对算法进行了改进。

    We made improvements to the algorithm by using Heuristic search and PageRank technology .

  13. 该算子体现了一种利用启发式信息的局部搜索技术,使得算法既保持整体优化特性,又具有较快的收敛速度。

    The operator is an embodiment of local research method using heuristic information .