select best造句
例句與造句
- The problem of pupils selecting better schools and china ' s elementary education reform
中小學(xué)生擇校問(wèn)題與我國(guó)基礎(chǔ)教育改革 - The youngest funds exhibit no such bias , and show less ability to select well - performing local companies
年齡最短的基金沒(méi)有本地持股傾向,而且選股能力也較差。 - By always striving for perfection , it is the first selected well - known brand for modern families and hotels
追求完美而不受外界環(huán)境影響,是現(xiàn)代家庭,賓館首選的知名品牌。 - This study will be helpful to guide the businessman to select better storage models and sale time , and also be as a reference for people to consume the apple
該研究對(duì)指導(dǎo)貯藏方式和貯藏時(shí)期的選擇以及蘋果消費(fèi)具有一定的參考意義。 - See the drawing after understanding the above differences , you can select best hand saws to create the highest profit and best image for yourself , customers and companies
在了解上述的差異后,相信大家在為自己客戶或公司選擇手工鋸時(shí),可以做出最好的選擇,為公司客戶及自己創(chuàng)造出最高的利潤(rùn)及最好的形象。 - It's difficult to find select best in a sentence. 用select best造句挺難的
- In order to save energy resources , for the thermal insulation material applied to building furnace , better select well insulated high quality light aluminum bricks and proper quantity of aluminium ailicate fibre felt or bricks
為節(jié)省能源,建爐用的保溫材料,最好選用保溫性能好的輕質(zhì)高鋁磚和適量硅酸鋁纖維磚。 - And bring forward really improve project for civil mechanism manufacture enterprise ' s logistics mis and dss . 3 、 besides , this letterpress design estimate index system , making a fix quantify reference for judge and select better
3 、此外,本文還設(shè)計(jì)了評(píng)價(jià)物流方案的指標(biāo)體系,為物流決策支持系統(tǒng)選擇最優(yōu)方案提供定量化的參考。 - From the processing results of two well logging data , it can be roughly recognized that the selected well logging curves with multi - fractal characteristics are stack responses of the different sedimentary procedures
通過(guò)對(duì)兩口井的地球物理測(cè)井曲線處理,可以初步看出,在選定的地球物理測(cè)井曲線中,其具多維分形特征,不同的沉積過(guò)程相互疊加在原始測(cè)井曲線中。 - The main results of our paper are as follows : present a chinese text clustering model ; obtain a chinese text algorithm which can select better initial point and a dbtc clustering algorithm which can identify cluster with any shape
本文獲得的主要結(jié)果:提出了一個(gè)中文文本聚類模型,提出一種選取初始聚類中心的中文文本聚類算法和一種能發(fā)現(xiàn)任意形狀簇的dbtc聚類方法。 - Router congestion control strategies are also proposed . secondly , a new multicast routing algorithm based on double chromosomes genetic algorithm is realized . the simulation results show that this algorithm can get better convergent effect and select best routing under proper system parameters
然后重點(diǎn)介紹了本文提出的一種基于雙倍體遺傳算法的組播路由算法,仿真結(jié)果表明該算法能夠在參數(shù)(種群規(guī)模、浙江工業(yè)大學(xué)碩士學(xué)位論文摘要交叉率及變異率)選擇適當(dāng)?shù)那闆r下,取得較好的收斂效果,并可以確定最優(yōu)路由。 - But , pso convergence ' s speed become slow in latter iterative phase , and pso is easy to fall into local optimization . at present , some scholars improve base pso mostly using 3 methods : disperse algorithm , increase convergence speed , enhance particle ' kinds . in the paper , i put forward 2 methods aiming at local best resutl but not whole best result . i modify base pso using the last method . some scholars put forward times initializations , so i select best result after circulating some times to be a parameter of formula . first , put particle into some small region , and ensure every region having one paticle at least . second , every region ' s particle has probability transfer other regions . although increase running time , enhance particle ' kinds , decrese the probability of convergence far from whole best result . nerms ( network educational resource management system ) is one of the research projects in the science and technology development planning of jilin province . the aim of nerms is to organize and manage various twelve kinds of network educational resources effectively so that people can share and gain them easily and efficiently , so as to quicken the development of network education
但粒子群算法仍存在如下不足:首先在多峰的情況下,粒子群有可能錯(cuò)過(guò)全局最優(yōu)解,遠(yuǎn)離最優(yōu)解的空間,最終得到局部最優(yōu)解;其次在算法收斂的情況下,由于所有的粒子都向最優(yōu)解的方向群游,所有的粒子趨向同一,失去了粒子間解的多樣性,使得后期的收斂速度明顯變慢,同時(shí)算法收斂到一定精度時(shí),算法無(wú)法繼續(xù)優(yōu)化,本文對(duì)原始粒子群算法提出了二點(diǎn)改進(jìn)方案: 1 .算法迭代到一定代數(shù)后,把此時(shí)找到的全局最優(yōu)解當(dāng)作速度更新公式的另一參數(shù)(本文稱之為階段最優(yōu)解)再進(jìn)行迭代; 2 .每次迭代過(guò)程中除最優(yōu)解以外的每個(gè)粒子都有一定概率“變異”到一個(gè)步長(zhǎng)以外的區(qū)域,其中“變異”的粒子在每一維上都隨機(jī)生成一個(gè)步長(zhǎng)。 - This algorithm adopts a middle ground between centroid - base and all - points - based approaches . instead of using a single centroid or all points to represent a cluster , a fixed number of representative points in space are chosen , these points represent and capture the geometry and shape of the cluster . in addition . the representative points of a cluster are generated by first selecting well - scattered objects for the cluster and then " shrinking " or moving them toward the cluster center by a specified fraction , or shrinking factor . the shrinking helps dampen the effects of outliers . therefore , cure is more robust to outliers
該算法選擇基于質(zhì)心利基于代表對(duì)象方法之間的中間策略,它不用單個(gè)質(zhì)心或簇中全部對(duì)象米代表一個(gè)簇,而是選擇數(shù)據(jù)空間中定數(shù)目的只有代表性的點(diǎn),這些點(diǎn)代表和捕捉到了簇的形狀。此外,由于引入了收縮因子使代表點(diǎn)向簇小心“收縮”而使該算法能夠較好地消除孤立點(diǎn)的影響,在處理孤立點(diǎn)上也更加健壯。 - Classification and regression trees processing part introduces growing algorithm of cart , pruning algorithm of cart and selecting best tree algorithm etc . on the basis of the concerned new model , the thesis presents in details the designing of multi - rules neural network based cart system for abnormal customers recognition
在分類回歸樹(shù)部分,介紹了分類回歸樹(shù)的生長(zhǎng)算法、最小代價(jià)?復(fù)雜性剪枝算法以及最優(yōu)樹(shù)選擇等算法。提出了系統(tǒng)設(shè)計(jì)之后,論文詳細(xì)介紹了該系統(tǒng)的開(kāi)發(fā),用以解決異動(dòng)客戶的識(shí)別問(wèn)題。