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。
On this basis, the algorithm of P-code search is studied, and a better algorithm of P-code search is put forward through integrating the XFAST technique and mean value method.
在此基础上，对P码序列的搜索算法进行了深入研究，并且结合扩展复制重叠技术和均值法，提出了一种更适合P码搜索的算法。
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。
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