pattern search造句
例句與造句
- The ship mooring evaluation function based on pattern search
提出小水線面中體五體船 - Varied steplength nonmonotone pattern search method
變步長非單調(diào)模式搜索法 - Application of pattern search method in yinchuan ' s pree nonlinear multi - goal planning mode
模式搜索法在銀川市目標(biāo)規(guī)劃模型中的應(yīng)用 - This hybrid algorithm applicates pattern search on each individual afer crossover operator and mutation operator of genetic algorithm , and improve the mutation operator to the big mutation operator in order to speeding convergence
本文提出的算法是在遺傳算法的交叉和變異算子之后對每個個體進行單純形局部尋優(yōu)的單純形混合遺傳算法，并且對變異算子進行了改進，采用大變異算子，以達到加快收斂速度的目的。 - According to the observed results and the corresponding settlement calculation results , the objective function is established by using the least square method . with the pattern search method , the optimal estimate of the needed inverse - analysis parameter has been gained
根據(jù)實際觀測值與相應(yīng)的沉降計算值，應(yīng)用最小二乘法原理建立目標(biāo)函數(shù)，利用模式搜索方法( hook - jeeves法) ，通過尋優(yōu)的方式獲得待反演參數(shù)的最優(yōu)估計。 - It's difficult to find pattern search in a sentence. 用pattern search造句挺難的
- On the study of propulsion system optimization algorithm , first , the engine performance optimization problems are converted into one typical type of nonlinear optimization problem . then , these problems are solved with model assisted pattern search ( maps ) algorithm
在研究推進系統(tǒng)性能優(yōu)化問題時，首先將發(fā)動機性能優(yōu)化問題轉(zhuǎn)化為一類典型非線性優(yōu)化問題，然后利用模型輔助模式搜索( modelassistedpatternsearch )方法進行求解。 - These researches will help us to discover changing or developing principle of things , support to decision - making , etc . the thesis addresses several key technical problems of pattern mining and its search based similarity in time series , which covers feature patterns and relationship patterns mining , pattern search based similarity in time series and stream time series and issues concerning application system implementation oriented to analysis . major contributions of this thesis include : 1 . research of mining feature patterns in time series a novel method is proposed to discovery frequent pattern from time series
本文在分析時間序列特點和實際應(yīng)用需求的基礎(chǔ)上，針對時間序列的挖掘與相似性查找一些關(guān)鍵技術(shù)進行了研究，具體包括特征模式挖掘、多序列關(guān)聯(lián)模式挖掘、相似性模式查找等方面，所做的工作和取得的創(chuàng)新成果體現(xiàn)在以下三個方面： 1 )時間序列特征模式挖掘研究首次提出了一種基于互關(guān)聯(lián)后繼樹模型的時序特征模式挖掘方法。 - This paper improved the way of neighborhood search of sa algorithm . the extended pattern search is adopted , in which three ways are chosen , that can change the packing states of objects ( translation , rotation , swap ) and two kinds of pattern search matrices ( translation and rotation pattern search matrices ) are introduced
文中改進了模擬退火算法的搜索方法，采用擴展模式搜索：選擇三種改變物體布局狀態(tài)的方式(平移、旋轉(zhuǎn)、交換) ，采取兩種模式搜索矩陣(平移和旋轉(zhuǎn)模式矩陣) 。 - Compared with the old ones , some improvements are obtained by using this method , such as pattern recognition scope , speed of pattern searching and matching , etc . furthermore , the new algorithm has stronger flexibility and stability . the information acquisition technique of intersected primitive based on combined relationship is provided . with the help of obtained engineering semantics , the correlative projections implying combined relationship among primitives are defined as combined factor
根據(jù)已經(jīng)獲取的工程語義，將隱含基元體之間組合關(guān)系的相關(guān)投影定義為組合因子，由此建立組合關(guān)系表，最后借助組合關(guān)系表，采用回溯的方法，即從二維的組合因子出發(fā)，找出它所隱含的兩兩基元體在三維空間中的組合關(guān)系，進而對該組合關(guān)系的主體?基元體的信息進行識別和獲取。 - This hybrid algorithm take advange of local search of pattern search and whole search of genetic algorithm . it first confines the direction of large scale search to the area of high fitness by genetic algorithm , and then utilizes pattern search to search in the small area got by the searching of genetic algorithm . , thereby the optim value is got
該方法利用了單純形法的局域搜索能力和遺傳算法的全局搜索能力，通過遺傳算法控制大范圍搜索的方向，使得搜索向著適應(yīng)度值高的區(qū)域發(fā)展，再通過單純形法在遺傳算法搜索到的區(qū)域內(nèi)進行小范圍的鄰域搜索，從而能夠得到高適應(yīng)度值域的最優(yōu)值。 - In this paper we investigate the application problem of genetic algorithm to function optimization , production precedence and automation . we study multi - maxim function in the domain of function optimization , job - shop in the domain of production precedence and the pid parameters selecting in the domain of automation . for solving multi - maxim function , we comes up with a hybrid genetic algorithm through analyzing characteristics of pattern search and genetic algorithm
本文研究了遺傳算法在函數(shù)優(yōu)化、生產(chǎn)調(diào)度和自動控制三方面的應(yīng)用，在函數(shù)優(yōu)化方面，詳細(xì)研究了求多峰函數(shù)的最大值問題；在生產(chǎn)調(diào)度方面，討論了作業(yè)車間調(diào)度問題；在自動控制方面，探討了pid控制的pid參數(shù)尋優(yōu)問題。 - These researches will help us to discover changing or developing principle of things , support to decision - making , etc . the thesis addresses several key technical problems of pattern mining and its search based similarity in time series , which covers feature patterns and relationship patterns mining , pattern search based on similarity in time series and stream time series and issues concerning application system implementation oriented to analysis . major contributions of this thesis include : 1 . research of mining feature patterns in time series a novel method is proposed to discovery frequent pattern from time series
本文在分析時間序列特點和實際應(yīng)用需求的基礎(chǔ)上，針對時間序列的挖掘與相似性查找一些關(guān)鍵技術(shù)進行了研究，具體包括特征模式挖掘、多序列關(guān)聯(lián)模式挖掘、相似性模式查找，在線相似性查找以及最終的分析應(yīng)用系統(tǒng)開發(fā)等方面，所做的工作和取得的創(chuàng)新成果體現(xiàn)在以下五個方面： 1 )時間序列特征模式挖掘研究首次提出了一種基于互關(guān)聯(lián)后繼樹模型的時序特征模式挖掘方法。