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markov network造句

"markov network"是什么意思  
造句與例句手機(jī)版
  • Elevator configuration based on the markov network queuing model
    馬爾可夫網(wǎng)絡(luò)排隊(duì)模型在電梯配置中的應(yīng)用
  • Fifthly , the stochastic control of markov networked control systems with long time delay is studied
    隨后,研究了長時(shí)延markov網(wǎng)絡(luò)控制系統(tǒng)的隨機(jī)控制問題。
  • Experiments are carried out by using the two - state markov network model for scalable image and video coders
    然后,利用上下界估計(jì)最優(yōu)的交織器參數(shù),從而避開了求解每一候選交織器參數(shù)對應(yīng)的失真優(yōu)化解所帶來的耗時(shí)大的問題。
  • The state feedback controller and the output feedback controller of markov networked control systems with long time delay are designed . the separation principle is proved to still hold in such networked control systems
    設(shè)計(jì)了長時(shí)延markov網(wǎng)絡(luò)控制系統(tǒng)的隨機(jī)狀態(tài)反饋控制器和輸出反饋控制器,證明了分離原理在長時(shí)延markov網(wǎng)絡(luò)控制系統(tǒng)中依然成立。
  • The probabilistic approaches include the belief network , the dynamic causality diagram , the markov network , the approach used in prospector , etc . the non - probabilistic approaches include the certainty factor theory in mycin , fuzzy set logic , dempster - shafer theory , etc . the non - probabilistic approaches have reached some achievement in their respective application domain , and shown their shortage while applying
    另一類是非概率的方法,包括mycin的可信度因子( certaintyfactor ) 、模糊邏輯( fuzzylogic )以及dempster - shafer的證據(jù)理論等。非概率的方法雖然在各自的應(yīng)用領(lǐng)域都取得了一定成果,但在運(yùn)用過程中人們越來越意識(shí)到這類方法的不足。
  • It is a markov network , we confirm the transfer rule of this network based on two kind of relationship , one is the image and the scene , the other is the current scene and its neighbour . learning parameters of this network come from training examples , we can obtain a exact local maximum of the posterior probability for the scene , thereby we generate a effective edge detection result for original blurry importing image
    它的體系結(jié)構(gòu)是一個(gè)馬爾可夫網(wǎng)絡(luò),根據(jù)圖像與景物、景物與景物之間的聯(lián)系來確定網(wǎng)絡(luò)上的信息傳遞規(guī)則,并從大量的事例中學(xué)習(xí)這些網(wǎng)絡(luò)參數(shù),可以高效地為所求景物找到一個(gè)精確的后驗(yàn)概率的局部最大值,從而為原模糊圖像獲得高效的邊緣標(biāo)記結(jié)果。
  • For instance , a new property of network traffic ( self - similarity ) has been observed in diverse networking contexts . some old protocols , policies and evaluate methods which are based on previous markov network model are not suitable for this self - similar traffic . and when tcp data share bandwidth with udp data that is popular for multimedia applications over the internet , it also causes fairness problem
    多媒體業(yè)務(wù)流會(huì)給整個(gè)網(wǎng)絡(luò)的性能帶來極大的影響,如:多媒體業(yè)務(wù)導(dǎo)致網(wǎng)絡(luò)流自相似現(xiàn)象加重,使網(wǎng)絡(luò)的原有的markov模型基礎(chǔ)上的協(xié)議、策略,及其評價(jià)方法不夠準(zhǔn)確,導(dǎo)致丟失率上升,網(wǎng)絡(luò)性能下降;多媒體業(yè)務(wù)中使用的大量udp包與普通數(shù)據(jù)流tcp包共存時(shí)對公平性的影響等等。
  • It's difficult to see markov network in a sentence. 用markov network造句挺難的
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