權重網路 的英文怎麼說
中文拼音 [quánzhòngwǎnglù]
權重網路
英文
weighting network- 權 : Ⅰ名詞1 [書面語] (秤錘) counterpoise; weight (of a steelyard)2 (權力) power; authority 3 (...
- 重 : 重Ⅰ名詞(重量; 分量) weight Ⅱ動詞(重視) lay [place put] stress on; place value upon; attach im...
- 網 : 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...
- 路 : 1 (道路) road; way; path 2 (路程) journey; distance 3 (途徑; 門路) way; means 4 (條理) se...
- 權重 : weight權重法 method of weighting
- 網路 : 1. [電學] network; electric network2. (網) meshwork; system; graph (指一維復形); mesh
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If given some access rights, wherever the users are, legal users can access or control the remote industrial workstation so as to do something like remote scheduling, remote diagnosing, remote maintenance, etc. this is one way to break the communication gap between management network and control network
進行適當網路配置后,授權用戶就可以在任一internet終端實現對監控主機的訪問和控制,以進行調度優化,遠程診斷與維護。目前,這套工業遠程信息監控系統已在省計算機重點實驗室進行了運行測試,系統工作正常,達到了預期要求。We deduce frondose algorithm of three layers bp neural networks which is used in common, and discuss several important issues in designing neural networks which is used to forecast, for example, number of hidden layer, nerve cell number of hidden layer, epoch of learning, embryonic power value, decision of node number about input and outputo at the same time, this dissertation sums up things that conventional bp algorithm is improved on considering disadvantages of it
3推導了常用的三層bp神經網路具體演算法,討論了實際預測應用中神經網路設計方面的幾個重要問題,如隱層數、隱層神經元數、訓練次數、初始權值、輸入節點數以及輸出節點數的確定。同時,針對傳統bp演算法存在的各種各樣的缺點,文中綜述了對其改進的情況。Based on weights analysis of feedforward neural networks, a hierarchic decomposition neural networks method for solving this problem is provided
基於前饋神經網路的權重分析,提出一種基於神經網路的結構優化層次分解方法,較好地解決了這一問題。In order to make weight factors in fuzzy evaluation accord with the fact well, neural network is applied
摘要運用神經網路確定模糊綜合評價中的權重值,使權重值更符合實際情況。First, it expatiates the reasons in theory why the private - owned enterprises have advantages in the international competition during the course of investing abroad. then, the article discusses about the content of private - owned enterprises " competition advantages broadly, including the perspicuity of the property relations, the flexibility of the management mechanism, the advantages of the small - scale technology, the cost advantages and the more perfect abroad market network system. at last, with a verifying survey on private - owned enterprises of zhe ' jiang province, by utilizing the analytical method of quantization, the article fully affirm the private - owned enterprises " ability to absorb the key elements, and the ability to combine, develop and manage resources
本文第二部分則著重分析了民營企業對外投資的優勢,首先從理論上闡述了民營企業具有何種國際競爭優勢;然後具體論述了民營企業的競爭優勢內容,包括產權關系明晰、經營機制靈活、小規模技術優勢、成本優勢以及比較完善的海外市場網路體系等等;最後,結合對浙江民營企業的實證性調研,運用量化分析方法,對民營企業的要素吸附能力、整合開發能力以及資源運營能力給予了充分肯定,同時也發現了某些不足之處。To prevent and suppress terrorist network, it is essential to treat symptoms and to understand and to terrorist networks ; improve legislation and responsibilities ; protection targets ; strengthening international cooperation ; with advanced technology and unique autonomous intellectual property rights ; establish a monitoring system and rapid reaction force ; train a large number of outstanding reserve talent
預防和制止網路恐怖主義,必須標本兼治:要認識和重視網路恐怖主義;完善立法和責任落實;保護重點目標;加強國際合作;擁有先進獨特的技術和自主的知識產權;建立監測系統和快速反應隊伍;培養大量的優秀后備人才。The ritualized operation of politics, daily life of the people, historical memory and modern power network of the communities, all the overlapped belief space has presented a complicated community story
每一種力量都以自己的方式介入歷史,國家政治的儀式化運作,民眾的日常生活,社區的歷史記憶與現行的權力網路,這多重疊合的信仰空間呈現了一段復雜的社區故事。The first chinese tort case concerning about page ( red group v. dong fang corp. ) which aroused controversy of jurisdictions in china, takes challenge about net cases jurisdictions in our country as well. the main contribution of this paper is to survey the relationship between net space and physical space, to draw lessons from the related mechanism and mature law system of other country on the fundamental of applying with the original principal of jurisdiction and to improve and develope it
「中國第一網頁侵權案」 ( 「瑞德集團訴東方公司案」 )在我國引起的管轄權爭議對我國涉網案件管轄也提出了挑戰,重新審視網路空間與物理空間的聯系,在遵循原有管轄根據的基礎上,借鑒國外運行機制和成熟的法律制度,對其進行一定的改造和發展,是作者意欲實現的目標。The innovations of this thesis can be summarized into three points. firstly, the average relative velocity is introducd into a novel adptive weighted clustering algorithm as one important parameter of weight, then it increases the stability and self - adaptability of cluster head. secondly, a new approach to calculating weight is suggested by integrating subjective and objective factors. it is verified by comparison with other approaches to selecting weight. thus the velocity of weight responding to the changes of network topology is increased. finally, using a som neural network to create a classifying model enables every node to learn to identify by itself the role in manet
本文的創新點有三個:首先本文在wca和aow分簇演算法的基礎上,引入了平均相對移動速度作為權值重要的參數,提出了一種新的基於權值的自適應分簇演算法,提高了簇頭在移動中的穩定性和自適應性;其次,提出了利用主客觀綜合賦權法確定權重的權值計算方法,通過與其他權重選擇方法比較,網路結構變化的權值響應速度得到了改進;最後,論文利用自組織特徵映射神經網路建立分類模型,使得網路中的節點可以自學習地確定簇中角色。It is very important to estimate the basic parameters in helicopter preliminary design. neural network ( nn ) has the advantages in estimating accuracy and generalization over traditional methods. however, there are some difficulties in using nn, e. g., how to select a proper network structure and the number of hidden layers. in this paper, structure and connection weight of a three - layer nn are optimized by genetic algorithm, and the optimized network is applied to helicopter sizing. the proposed method can not only give an optimal nn structure and connection weight, but also reduce the prediction error and has the capability of self - learning when the latest data are available. furthermore, this method can be easily applied to helicopter design systems
在直升機初步設計階段估算其基本參數是很重要的.神經網路的通用性和精度比傳統的估算方法有更多的優勢,但是在應用神經網路時存在如何選擇合適的網路結構和隱層節點數目等一些困難.應用遺傳演算法優化三層神經網路結構和連接權重,並將優化得到的網路應用於直升機參數選擇中.該方法不但可以給出一個最優的神經網路結構和連接權重,而且降低了估算誤差,具有及時應用最新數據學習的能力.此外,該方法易於在直升機設計系統中得到應用Abstract : according to analyzing of all the factors concerned with the threatening degree of oil spill, it ' s proposed that weight of the factor s is ascertained by fuzzy nn. moreover, to ascertain the threatening degree and th e grade of the oil spill accident by fuzzy integrated evaluation has laid a foun dation for making oil spill emergency decision
文摘:在綜合分析影響溢油事故威脅程度有關的諸多因素的基礎上,提出使用模糊神經網路技術來確定各影響因素的權重,進而使用模糊綜合評價的方法來評定溢油事故的威脅程度及等級,為進一步的溢油事故應急決策奠定基礎。Based on many references, a evaluating function is proposed with performance index of hall call waiting time ( hwt ), people number in a car, energy consuming. the statistic approximation algorithm for hwt is introduced, based on the analysis of elevator traffic state, the calculation of traveling distance and stop number is explained in detail in the thesis. according to the characteristics of the elevator, a group of elevator teaching signals are constructed, by which the weight coefficients are trained according to the widrow - hoff rule
本文在借鑒了大量的文獻基礎上,提出以平均等候時間、轎廂人數、能源消耗為性能指標的評價函數;詳細介紹了乘客待梯時間hwt的統計近似演算法;基於對電梯交通狀況的分析,對停層次數和運行距離這兩個重要參數的計算進行了詳盡的介紹;依據電梯運行特性參數,構造一組電梯運行教師信號,並採用神經網路的widrow - hoff學習規則訓練權系數。In this paper, discrete hopefield neural network ( dhnn ) is first introduced into the field of supplier evaluation combined with analytic hierarchy process ( ahp ), meanwhile, the difficulty in expressing the indexes " weights with discrete hopefield neural network was solved
本文首次將離散型hopfield神經網路應用於供應商評價領域,結合層次分析法( ahp ) ,並克服了離散型hopfield神經網路難以表達各評價指標權重的缺點。17, isoptera " is the most authoritative book on termite classification in china. we use web and databank technologies to realize the sharing of termite classification information. nowadays people pay more attentions to the intellectual property, especially the copyright of software
《中國動物志?昆蟲綱?第十七卷?等翅目》為我們提供了白蟻分類方面的權威資料,利用計算機web技術和數據庫技術,實現這些權威資料的網路化、數字化,是實現分類資源共享的重要途徑。Aimed at scarcities of current means to calculate document feature item weight, using vsm for reference, this paper advances a method to calculate weight of document feature item based on bp neural net. bp neural net is applied broadly for its simple structure and working stabilization
本文針對現存的文檔特徵項基於internet的信目、檢索若干問題的研究權重統計方法的不足,結合向量空間模型表示文檔特徵的方法,提出利用神經網路技術對文檔的文檔特徵權重進行估計的方法。To analyze some key technologies of optical network relative with rwa in detail, such as transmission, switching and internetworking ; to emphasize on the research of function, fabric and performance of optical cross - connection ; to carry out numerical simulations for crosstalk introduced by optical cross connect and to present measurements for suppressing it such as doubly filtering, fixing optimum decision threshold and appropriately choosing the number of multiplexed wavelengths ; 3. to research the fundamental principle and some problems relative with rwa, including the type of optical network, the type of traffic, the type of service, the survivability of optical network ; to classify and compare rwa algorithms and particularly research some dynamic rwa algorithms ; 4. to present reserved light - path and classify network resource such as used, unused and reserved status, to emulate establishment of all - optical connection in optical network through modified rwa algorithm and show effectively reducing setup time of all - optical connection utilizing reserved light - path ; to research rwa algorithms of multi - fiber network, to present new link weight functions dependent on node degree, unused fiber ( s ) per wavelength - layer and routing policies, to perform emulation of rwa based wavelength layer graph applying new link weight functions and show them make algorithms better performance and network lower blocking rate ; 5
詳細分析了與rwa相關的光網路關鍵技術,包括傳輸、交換、組網等,重點研究了光交叉連接的功能和結構、性能,對其引入的串擾進行了詳細分析,選擇恰當的器件參數進行了數值模擬,並提出了抑制措施(如雙重濾波、優化判決門限、選擇恰當的復用波長數) ; 3 .研究了光網路的r認叭的基本原理、與r認叭的幾個相關問題(光網路類型、業務類型、流量類型、光網路生存性) 、 r認人演算法的分類和比較,具體研究了幾種動態r場人演算法; 4 .研究了以全光連接建立時間為優化目標的r認認演算法,提出預置光路的概念,對網路資源進行狀態分類(佔用、未佔用、預置) ,利用改進的r認叭演算法模擬,預置光路可為部分新到的連接請求快速建立連接,從而提高網路性能;研究了以多光纖網路連接阻塞率為優化目標的r認城演算法,提出了以節點度數、每個波長分層的空閑光纖數以及路由策略決定的幾種鏈路權重函數,利用基於波長分層圖模型的并行r場人演算法模擬,利用新的鏈路權重函數使得演算法具有更優的性能,使網路具有更低的連接阻塞率。So network attack technology is of great importance to nation security. to perform a successful network attack, an attacker should firstly gather vulnerability information of the target networks
為了在未來的網路戰中掌握主動權,網路攻擊技術是不可或缺的武器,研究和發展網路攻擊技術對于國家安全具有重要的軍事戰略意義。On the actual ward spot, because with the variety of the season and the day and night, the environment factors is variational and with the difference of the ward spot, the environment factors is also different, based on the frame of decision level fusion this paper apply neural network and fuzzy inference technology to achieving multi - sensors fire detection system, which can endue different sensors with different weight for adapting the variation of environment according to the actual things. we test this method applied to the multi - sensors fire detection system by simulating and attain the anticipative result
針對實際監護現場,環境因素會隨著季節以及晝夜變化而變化,而且在不同的監控現場,環境因素也不相同的問題本文在決策層融合的框架下,利用神經網路和模糊推理技術相結合來實現多傳感器火災探測,根據實際情況,賦予不同的傳感器不同的權重系數以適應環境變化,通過模擬驗證了此種方法應用於多傳感器火災探測系統可達到預期效果。This paper computed the weight of influence factors by gray pertinence method and bp network, and assessed shallow groundwater resource vulnerability in the hufu plain in 1984 and 2000 by the integrated method
摘要採用灰色關聯度法和bp神經網路法計算各指標權重,然後用綜合指數法分別對滹滏平原1984年和2000年地下水資源脆弱性進行了評價。In this paper, systemic theoretic analysis of the relationship of stock structure and operating performance is progressed, based on this, theoretic study and demonstration analysis organic fall together, and the neural networks model that can reflect their relationship total and systemic is established. the input variable of the model can reflect the panorama of stock structure, also, it can embodiment other influence factor of company performance. the evaluation target system that can reflect the operating condition of listed companies completely, impersonality and truly is advanced, at the same time, the best result weights confirm method is brought forward, thereby, the fuzzy integrate evaluations method is improved
本文對股權結構與經營績效之間的關系作了系統的理論分析,並在此基礎上,將理論研究和實證分析有機地結合起來,建立了一個能全面、系統地反映它們之間關系的神經網路模型:該模型的輸入變量在反映股權結構全貌的同時又體現了公司績效的其它影響因素;提出了可以全面、客觀、真實地反映上市公司經營狀況的評價指標體系,同時提出了最佳結果權重確定法,從而改進了模糊綜合評價方法,並利用改進的模糊綜合評價法求出公司經營績效的綜合量化值作為神經網路的期望輸出;改進了神經網路模型的演算法,使其在樣本數據相對較少的條件下也能很好地在性態上模擬被逼近函數。分享友人