退化網路 的英文怎麼說

中文拼音 [tuìhuàwǎng]
退化網路 英文
degenerate network
  • 退 : 動詞1 (向後移動) retreat; draw back; move back 2 (使向後移動) cause to move back; remove; wit...
  • : Ⅰ名詞1 (捕魚捉鳥的器具) net 2 (像網的東西) thing which looks like a net 3 (像網一樣的組織或...
  • : 1 (道路) road; way; path 2 (路程) journey; distance 3 (途徑; 門路) way; means 4 (條理) se...
  • 退化 : become vestigial; degenerate; deteriorate; retrograde; devolution; retrogradation; retrogression;...
  • 網路 : 1. [電學] network; electric network2. (網) meshwork; system; graph (指一維復形); mesh
  1. The procedure functions in the compare between partial image of dynamic collection and corresponding image of the airscape. in chapter 5, basing on the analysis of correlative theory of digital image, we introduce the improved fasted - down algorithm and simulative anneal algorithm, which applies to nn calculation, an d bring forward the unique and effective means, correlative original value evaluation. basing on the combination of correlative arithmetic, a stable, high - speed and exact correlative arithmetic is formed, which makes it possible to apply computer vision detection of single - needle quilting in industrial production

    本文展開研究並取得一定成效:構建了基於pci總線的微機實時圖像採集系統;在採集的布料總圖(鳥瞰圖)的基礎上,通過數字圖像的數字濾波、圖像增強、邊緣檢測等處理,提取布料圖像的邊緣,對輪廓的矢量的象素點進行搜索,得到相應的圖案矢量圖,從而確定絎縫的加工軌跡,生成加工指令;在進給加工過程中,主計算機對動態局部圖像與總圖(鳥瞰圖)的對應部分進行圖像相關的匹配計算,應用數字圖像理論,結合神經計算的改進最速下降法和模擬退火演算法,提出獨特而有效的相關迭代初始值賦值方法,形成穩定、高速和準確的相關運算,實現單針絎縫視覺測量和自動控制。
  2. Improve the management level of coscon, meet the increasing demands in the capital market ; enhance the professional business ability, strengthen and develop the global container shipping network ; implement active sales policy ; solidify, penetrate and extend effective market ; equally develop fleet management and managing fleet, route extension and reduction ; build effective customer service system, win the market by “ high quality ” service ; bring the advantage of alliance cooperation into full play, improve the profit - making ability ; strengthen the use of information system, boost “ digital ” development ; implement the strategy of “ talent for strong business ”, train responsible company and responsible staff ; establish a complete financial and accounting system of capital operation to improve the level of financial management ; optimize the domestic and overseas management pattern, form a resultant force of the global container shipping network ; expand the scale of shipping capacity, enhance the company ' s competitive edge ; finish the transformation from sheer production operation to the double operations of capital and production, maintain the sound and stable development of business

    提高公司管治水平,滿足不斷提升的資本市場要求;增強專業經營能力,鞏固發展全球集裝箱運輸;實行積極營銷政策,鞏固、滲透和拓展有效市場;實現船隊經營與經營船隊並舉及航線擴張與退出並舉;構築有效的客戶服務體系,以「高品質」服務贏得市場;發揮聯盟合作優勢,提高盈利能力;堅持強運用信息系統,催生「數字」 ;實施「人才強業」戰略,打造責任公司、責任員工;建立完善資本經營財會體系,提高財務管理水平;完善海內外管理模式,形成全球集裝箱運輸營銷的合力;擴大公司運力規模、增強公司競爭實力;完成由單純的生產經營向資本經營和生產經營並舉的轉變,實現公司業務的健康、穩健發展。
  3. When solving the tna problem based on fleet balance application, a flight pairing network model is build, by which the primary problem transferred to a directed path decomposition problem to minimize target function, and a simulated annealing algorithm is constructed

    在解決使飛機均衡使用的飛機排班問題時,本文利用航班節的模型將原問題轉為一個使目標函數最小的航班節編組問題,在此基礎上構造了一個模擬退火演算法。
  4. In order to quicken the industry ' s development, above all is to reform the administrative system, it is necessary to adjust the direction next, the freight forwarding should follow a path of " grasping the big, and releasing the small. " in answer to the guideline set by chinese central government in rejuvenating soes, large freight forwarders will have to go for scale operation and cultivate an extensive service network so as to gain a firm foothold in the position of tpl suppliers. on the other hand, competition does not mean a dead end for the small and medium - sized freight forwarders

    有鑒於此,木文從減少市場壁壘、降低交易成本、拓寬市場空間的角度,具體闡述了加入w后加快發展的應對之策,包括政府要放寬市場準入政策,讓國有經濟從該行業適當退出或減少比重,貫徹「抓人放小」原則,理順管理體制;按照「推動規模經伏,開展令業服務,培育;叫絡扶迸,進軍現代物流」的本向理清貨代企業的發展思,並針對中悶貨代業的現狀,對規模經營及發展現代物流的思和模式進行j喀。
  5. Based on polymerization reaction of the nylon - 6 rubberized cord fabric production of distributed control system in yangzhou organic chemical plant computer integrated manufacturing system ( yh - cims / dcs ), the multiple stepwise regression method was used to build the statistic mathematical models of the molecule weight and the monomer quantum of casting slice belt. then the optimization model of polymerization reaction was presented, which was solved by using simulation annealing algorithm to obtain the best techniques parameters. the improved hybrid genetic algorithm and back propagation algorithm are combined to train neural network, brought out the neural network prediction model of casting slice belt ' s average molecule weight to guide the technologist on - line

    提出了流程工業生產過程操作優策略和應用實施方法,包括生產過程離線優策略、非線性問題求解策略、在線優模型及學習策略;結合揚州有機工廠計算機集成製造系統集散控制系統( yh - cims dcs )的實施,針對錦綸? 6浸膠南京理工大學博士學位論文摘要簾于布生產中己內酚胺聚合反應過程優控制這一工程實際問題,採用統計建模方法,建立了聚合反應過程的優模型;為求解所得的優模型,提出了種改進的有約束條件下的模擬退火演算法,該演算法能避免陷於局部最優解,有效地提高了所求解的全局性和可靠性:提出了基於改進的ga演算法和sp演算法相結合的混合學習演算法,建立了基於神經的聚合反應過程生產目標在線預測模型,該演算法和模型滿足了生產中的實時性和實用性要求。
  6. Costume enterprises are in the face of a trade with obvious seasonal difference, and the costume has a region characteristic even more. its production, circulation are finished within relatively short time, and it is ordered and produced and entered, business of retreating, selling, changing is all quite frequent. as business is fast to develop and commercial network expand constantly, subdivision that intelligence divide the work and course of circulate control are problem that enterprise must face and solve

    服裝企業面對的是一個具有明顯季節性差異的行業,服裝更帶有地域特點,它的生產流通都是在相對短的時間內完成的,其訂貨生產和進退銷換的業務都相當頻繁,當業務快速發展銷售不斷擴大,智能分工的細流通過程的控制是企業必須面對和解決的問題。
  7. Ims composes eight function modules : general situation of irrigation districts, database management, network communication, visual information query, report output, dynamic simulation, help, exit

    灌溉信息管理系統由灌區概況、數據庫管理、可視查詢、通信、報表輸出模塊、動態模擬模塊(留有介面) 、系統幫助模塊、退出系統模塊八個功能模塊組成。
  8. First, we trained neural network by using different methods to deal with different data, to elevate the ability of detecting small intrusion and prevent neural network degeneration during training ; then, the improved genetic algorithm was used to optimize neural network ensemble weight

    首先通過有區別地對待不同的訓練數據訓練神經,提高對小類別入侵的檢測能力並防止訓練中的退現象;然後利用一種新的改進遺傳演算法優集成的權,提高系統整體性能。
  9. These states include good state, vulnerable state, degradation state and failed state. there are difference security policies according different state

    我們把系統的安全狀態分為四個等級:正常狀態、易受攻擊狀態、服務退狀態和被攻擊狀態,它們分別對應著不同的安全策略。
  10. This paper describes solving the static rwa problem, an aspect of te problem in optical network, with simulated annealing algorithm. the static rwa problem is to allocate proper route and wavelength for a set of static requests on a wdm network with and without oxcs which physical topology is known

    本文研究了用模擬退火演算法解決光業務量工程中靜態rwa問題,在已有上,根據多個業務需求,合理分配資源,完成端到端通的建立,達到一定的優目標。
  11. In designing a multi - structuring elements filter, combination rules and structuring elements of the morphological transform are determined automatically, and one kind of neural networks is taken for the filter, in optimzing structural parameters of the filter, three computation methods are designed respectively, by adopting some priori information in application fields to guide optimal structural parameter learning procedure, which are the bp adaptive learning algorithm, the heuristic genetic learning algorithm and the inductive simulated annealing learning algorithm

    在多結構基元濾波器設計中,通過學習人-機交互選定的目標樣本,自動確定形態變換的組合規則及其結構元素,最終以神經形式構成濾波器。在結構參數的優學習中,利用應用領域的先驗知識,分別設計了自適應bp學習、啟發式遺傳學習和引導式模擬退火學習等三種最優計算方法。
  12. To these problems, i offer seven suggestions to improve the vc system. on this basis, i described the target of chinese vc system : to improve the concerning laws and regulations in order to guarantee a good environment ; the coexistence of government supervision and self - control of the industry ; the small and meddle size technological enterprises are the micro - basis and droved by a regulated markets ; under the support of the financial and intermediary institutions, the developing funds, industry investment funds, pension funds and large enterprises groups will become the principal of investment

    第三章,在前面幾部分論述的基礎上提出加強風險投資體系建設的7條對策建議: 1 .培育風險投資主體,拓寬風險資本來源渠道; 2 .完善資本市場,拓寬風險投資退出渠道; 3 .發展企業孵,完善中介服務機構體系; 4 .制定風險投資行業政策,健全風險投資法規體系; 5 .盡快建立監管體制,規范風險投資業發展; 6 .完善科研管理體制,構築科技創新的微觀基礎; 7 .建立教育試點專業,培養風險投資人才。
  13. Then a new improving scheme of ga which we call it hgsaa ( hybrid gentic - simulatd annealing algorithm ) is put forward based on the existing condition, and the new algorithm works more efficiently than the old one because it has not only ga ' s global searching capability but also saa ' s local searching capability. the simulatio results show the new algorithm is more effective than ga. the minimum cost is reduced and the clustered network structures have been produced with the onus are evenly distributed or clustered around the obds and the clustered network structures are well ordered with a satisfactory degree of symmetry after the hgsaa has runed 100 generation

    吏為重要的是,本文充分利用了混合遺傳演算法的思想,將遺傳演算法和模擬退火演算法的優勢相結合,使得遺傳演算法的全局尋優能力與模擬退火演算法的局部尋優能力在該問題的求解過程中充分發揮了作用,由本文實現的混合遺傳一模擬退火演算法明顯地改進了演算法的效果,由此生成的方案的建設費用得到極大減少,同時拓撲結構的優結果也比單純的遺傳演算法的效果好得多。
  14. There are two methods to optimize the parameters and structures of neuro - fuzzy networks : one is the differential coefficient optimization method based on gradient vector ; the other is based on modern optimization methods, such as genetic methods, simulated annealing etc, in which, the researches on genetic methods are most prominent

    目前,對模糊神經的權值或結構進行優的方法有兩類:一類是基於梯度向量的導數優方法;第二類方法是基於現代最優技術的非導數優方法,如遺傳演算法、模擬退火演算法等,其中以遺傳演算法的研究最為突出。
  15. After training the neural network and fuzzy inference system with the method named gauss newton levenberg - marquard, we optimize these two systems with chaotic optimization method. simulated annealing algorithm and genetic algorithm can find the better solution, with the help of chaotic optimization method

    提出高斯牛頓levenberg ? manquardt方法和混沌優相結合的演算法,利用該方法對神經和模糊神經進行了訓練,並用混沌進行了優;還和模擬退火、遺傳演算法進行了結西安理工大學碩士論文合,幫助它們找到更好的解。
  16. Then the result of certain k - shortest path algorithm is introduced as a set to be chosen by both the simulated anneal algorithm and heuristic algorithm, concerning the end - to - end traffic requirement and restriction on link bandwidth. afterwards, the effect of the value k on the outcome of the simulated anneal algorithm is researched. the network resource is allocated, while the study of link protection problem on traffic routing is introduced and two types of protection, shared protection and dedicated

    首先考察實際的模型,根據業務需求,引入k由演算法的結果作為模擬退火演算法和啟發性演算法備選由集合,在鏈帶寬有限的約束下對資源進行分配,同時引入業務由的通保護問題的研究,實現了共享保護和專用保護兩種通保護方式;針對全波長轉換和無波長轉換能力,根據為所有連接請求所分配的總資源最少和滿足請求的業務數目最多兩種優目標對資源分配進行優,研究了備選由集大小對模擬退火演算法結果的影響;對模擬退火演算法與啟發性演算法的
  17. Deterioration mechanism of the bond property between rusty rebar and corroded concrete was discussed. because that the bond strength between the corroded rebar and concrete is affected by many factors, and the relation between the factors and bond strength are highly nonlinear, to build the any calculation model will be very difficult. bp nn model was built up herein to predict the ultimate bond strength between the rebar and corroded concrete, good results are achieved

    闡明了銹蝕鋼筋與混凝土之間粘結性能的退機理;鑒于銹蝕鋼筋混凝土之間的粘結性能受到多因素影響,且影響因素集與極限粘結強度之間存在著復雜非線性關系,建立了bp神經模型預測銹蝕鋼筋與混凝土之間極限粘結力,取得了較好的預測效果。
  18. The optimal design of water supply networks has been broadly and deeply studied by many domestic and foreign scholars because of its important status in water supply engineering. the scholars advanced many kinds of optimal methods, such as tabu search method, simulated annealing method, genetic algorithms method, artificial neural networks method

    由於給水管設計在給水工程中佔有重要地位。國內外學者對其進行了廣泛而深入的研究,提出了多種優方法,諸如禁忌搜索、模擬退火、遺傳演算法和人工神經演算法。
  19. Stochastic network can employ simulated annealing method to optimize parameters of equivalent circuits

    隨機可利用模擬退火演算法優等效電參數。
  20. In the simulation of functions, this method performs better than chaotic optimization algorithm. with the combination of bisection - interpolation approach and gauss newton levenberg - marquardt method, we optimize neural network and fuzzy inference system. taking advantage of bisection - interpolation approach, simulated annealing algorithm and genetic algorithm find the better solution than chaotic combination method

    作者通過大量的函數模擬以及將其與牛頓高斯levenberg一manquardt方法、模擬退火、遺傳演算法等常用演算法相結合,形成的混合優演算法,對神經、模糊神經和函數進行了優,其優效果明顯優于混飩以及混飩混合優演算法。
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