search vt. 1.搜查;檢查(身體、衣袋等);搜索,搜尋;找;尋找。 2.調(diào)查;查究;探求;追求;根究 (into)。 3.(冷風(fēng)等)到處侵入,刺透。 4.【軍事】使(火力)向縱深展開。 search sb. 搜查身體。 search a book 在一本書里查找材料。 search one's memory 竭力回憶。 The shrapnel was searching every cranny. 榴霰彈正在四散開來。 vi. 1.搜尋,搜查 (for);探求。 2.【計(jì)算機(jī)】覓數(shù),檢索。 search after [for] 尋找;尋求,追求;探求 (search after health 講究健康;保養(yǎng)。 search a house for papers 在一座房屋里搜查文件)。 search into 調(diào)查;研究;根究。 S- me! 〔美國(guó)〕我不知道。 search out 搜出;查出;探出;找出。 n. 1.搜索;搜尋;尋找。 2.探索;探求 (after for) 調(diào)查;檢查。 in search of 尋找;去找;追求;為了尋求;試圖發(fā)現(xiàn)。 make a search after (去)找;尋求;追求。
pattern n. 1.模范,榜樣;典范。 2.型,模型;模式;雛型;【冶金】原型。 3.花樣;式樣;(服裝裁剪的)紙樣;圖案,圖譜,圖表;機(jī)構(gòu),結(jié)構(gòu);特性曲線;晶體點(diǎn)陣;(電視的)幀面圖像。 4.方式;形式;格局;格調(diào)。 5.(衣料等的)樣品,樣本,樣板。 6.〔美國(guó)〕一件衣料。 7.(炮彈等的)散布面;靶子上的彈痕。 8.(飛機(jī)的)著陸航線。 a pattern wife 模范妻子。 a paper pattern for a dress 女服紙樣。 a machine of a new [an old] pattern新[舊]型機(jī)器。 a cropping pattern農(nóng)作制。 after the pattern of 仿…。 vt. 1.照?qǐng)D樣做;仿造,摹制 (after; upon)。 2.給…加花樣,用圖案裝飾。 3.〔英方〕與…相比 (to, with)。 vi. 形成圖案。 pattern oneself after 模仿,學(xué)…的榜樣。 adj. -ed 仿造的;被組成圖案的(patterned forms【語(yǔ)言學(xué)】 仿造詞)。 n. -ing 圖案結(jié)構(gòu),圖形;(行為等的)特有型式。 adj. -less 無(wú)圖案的。
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(duì)每個(gè)個(gè)體進(jìn)行單純形局部尋優(yōu)的單純形混合遺傳算法,并且對(duì)變異算子進(jìn)行了改進(jìn),采用大變異算子,以達(dá)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(shí)際觀測(cè)值與相應(yīng)的沉降計(jì)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(jì)。
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(jìn)系統(tǒng)性能優(yōu)化問題時(shí),首先將發(fā)動(dòng)機(jī)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(jìn)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(shí)間序列特點(diǎn)和實(shí)際應(yīng)用需求的基礎(chǔ)上,針對(duì)時(shí)間序列的挖掘與相似性查找一些關(guān)鍵技術(shù)進(jìn)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(gè)方面: 1 )時(shí)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(shí)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(jìn)了模擬退火算法的搜索方法,采用擴(kuò)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(yǔ)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(jìn)而對(duì)該組合關(guān)系的主體?基元體的信息進(jìn)行識(shí)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(jìn)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。