On the basis of this model, a "hill climbing" -search algorithm was put forward to solve negotiation models with multi-attribution based on the traditional game theory field.
在此基础上提出基于对方兴趣点的爬山式搜索算法，彻底解决了传统博弈论多属性谈判模型中计算量大而无法实现的问题。
Based on the analysis of the performance index a new algorithm, two stage random search algorithm with variable radius, is put forward.
经对性能指标性质的分析给出了一种模糊神经网络的学习算法——二阶段变半径随机搜索法。
Based on phrase-based statistical machine translation, a dynamical programming beam search decoding algorithm is put forward combining multi futures model using log-liner model approach.
在基于短语的统计机器翻译的基础上，结合对数线性模型的思想加入多个特征模型，研究了一种动态规划的柱搜索解码算法。
应用推荐