beam search

基本解釋

Beam search is a heuristic search algorithm that is an optimization of best-first search that reduces its memory requirement.
定向搜索是一種啟發(fā)式搜索算法，它是對減少內(nèi)存需求的最佳優(yōu)先搜索的優(yōu)化算法。
Considering the characteristics of its optimal solution, the author puts forward improved beam search algorithm and genetic algorithm to solve the above model.
根據(jù)模型最優(yōu)解的特征，設(shè)計了求解模型的集束搜索算法和遺傳算法。
In order to search for the optimizing solutions of tool switching problem effectively, a beam search based heuristic algorithm is put forward for formulating heuristic solution space of the problem.
為了有效地搜索到刀具交換問題的優(yōu)化解，本文提出了基于定向搜索的啟發(fā)式算法的求解方法。

束搜索
The system is based on continuous hidden Markov model. Two-pass feature extraction and beam search strategy are also employed to reduce the consumption of the RAM and enhance the recognition rate.
系統(tǒng)采用連續(xù)隱含馬爾科夫(CHMM)算法,運(yùn)用了分階段提取特征、束搜索等策略,在保證系統(tǒng)識別性能的同時大大降低了內(nèi)存消耗,提高了識別速度,識別率在98.5%以上,識別時間在0.5倍實(shí)時以下。
束狀搜索
beam搜索
定向搜索