single parameter dynamic search algorithm 非梯度训练方法
dynamic binary search algorithm 动态二进制搜索算法
Dynamic Search Range Algorithm 动态搜索范围算法
dynamic semantic search algorithm 动态语义检索算法
In order to reduce the operation cost and optimize the unit commitment, the fast algorithm about unit commitment based on revised BP ANN (Artificial Neural Network) and dynamic search is discussed.
为了使机组达到最优组合，减少运行成本，研究了基于修正BP人工神经网络与动态搜索的快速算法在机组组合中的运用。
Bounded search tree and dynamic programming are frequently-used techniques in parameterized algorithm.
在典型的参数算法中，有界搜索树和动态规划是常用技术。
Dynamic penalty, frequency list, multi-stage search and configuration pool were used to improve the algorithm.
使用了动态惩罚、频数表、多阶段搜索和优化配置池等方法改进了算法的效率。
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