hybrid network 中文意思是什麼
hybrid network
解釋
混合通信網-
Hybrid routing algorithm based on mobile ad hoc network
網路的一種混合路由演算法 -
The study work includes three parts. in the first part, numerical methodology of three - dimensional discrete fracture network ( dnf ) model casing on hybrid bem - channel was presented, and the technique for improve the model ' s computing efficiency was also studied
首先，提出了一種基於混合邊界元?管流的改進的三維離散裂隙網路模型，並研究了提高模型計算能力的方法，使其可以具有更好的工程應用性。 -
Because of the interaction of urushiol chains and cus, the transformation temperature tg of hybrid - epu / cus was higher than that of epu. heat stability and solvent resistance were also improved. the interaction and network of urushiol chains were efficiency to inhibit the dimension of cus nanoparticles
漆酚鏈段與cus之間的作用，以及漆酚交聯網路的存在可有效阻止cus顆粒尺寸的增大，但漆酚交聯網路產生的空間位阻也在一定程度上降低了sz 」的擴散。 -
Second, proposing a hybrid recommendation strategy which used multi - agent system, collaborative filtering, and top - n together to generate right recommendations for customers in different profitability tiers. in the first part, we have defined customer value from two categories : intrinsic value and network value. based on customer ' s historical behavior, segment them with considering their recency, frequency, and monetary
明確指出高價值客戶可體現在兩個方面：一是具有高自身價值的客戶，二是具有高網路價值（客戶的網路影響力）的客戶；其次，由顧客的歷史和當前行為，特別是從recency （最近訪問時間） 、 frequency （訪問頻度） 、 mon6t8ry （購買投人）因素出發，進行顧客內部價值挖掘：並通過形式化顧客的網路價值，給出完整的分層演算法和相應實驗。 -
We study one of the key point in interconnection network, theory of deadlock - free. we focus on the wormhole switching deadlock - free theory in interconnection network, and a new design method based on hybrid switching is proposed, which provides a fine way to realize deadlock - free routing algorithm
重點對採用蟲孔路由的直接網路無死鎖問題進行了研究，在深入分析大量已有演算法和無死鎖理論的基礎上，設計混合切換技術下的無死鎖路由演算法，給出了無死鎖路由設計的一個可行途徑。 -
To overcome the limitations of general fnns and bp algorithm, this thesis introduced a hybrid feed - forward neural network, which is composed of a linear model and a general multi - layer fnn, and proposed a new learning algorithm for the hybrid fnn
其次，針對bp網路存在的缺陷，結合前向神經網路和線性最小二乘法的優點，構造了一種基於混合結構的神經網路，提出了相應的非迭代的快速學習演算法。 -
This paper deals with the capacity of hybrid channel allocation ( hca ) over cdma network
摘要討論了cdma網路中混合通道分配策略的容量問題。 -
Hybrid circuit network
混合電路網路 -
A common short form used for " hybrid circuit " and " hybrid network " mainly in the plural
通常以復數形式作為「混合電路」和「混合網路」的縮寫。 -
A common short form used for “ hybrid circuit ” and “ hybrid network ” mainly in the plural
通常以復數形式作為「混合電路」和「混合網路」的縮寫。 -
In the algorithm level, currently various training algorithms of neural networks, including gradient algorithms, intelligent learning algorithms and hybrid algorithms, are comparatively studied ; the optimization principle of bp algorithm for neural networks training is analyzed in detail, and the reasons for serious disadvantages of bp algorithms are found out, moreover, the optimization principle of two kinds of improved bp algorithms is described in a uniform theoretic framework ; and the global optimization algorithms of neural networks, mainly genetic algorithm are expounded in detail, it follows that a improved genetic algorithm is proposed ; finally the training performances of various algorithms are compared based on a simulation experiment on a benchmark problem of neural network learning, furthermore, a viewpoint that genetic algorithm is subject to " curse of dimension " is proposed
在演算法層，本文對目前用於神經網路訓練的各種演算法，包括梯度演算法、智能學習演算法和混合學習演算法進行了比較研究；對用於神經網路訓練的bp演算法的優化原理進行了詳細的理論分析，找到了bp演算法存在嚴重缺陷的原因，並對其兩類改進演算法-啟發式演算法和二次梯度演算法的優化原理，在統一的框架之下進行了詳盡的理論描述；對神經網路全局優化演算法主要是遺傳演算法進行了詳細的闡述，並在此基礎上，設計了一種性能改進的遺傳演算法；最後基於神經網路學習的benchmark問題對各種演算法在網路訓練中的應用性能進行了模擬研究，並提出了遺傳演算法受困於「維數災難」的觀點。 -
Fault diagnosis with hybrid integrated neural network
混合型集成神經網路故障診斷方法研究 -
After that, a fuzzy neural network control design with mixed performance was proposed aiming at different requirement to uncertainty, which separately compensate parameter uncertainties and external disturbances of robot system. this method can ensure the robust stability that under a prescribed attenuation level for the external disturbance, and also strengthens compensation to parameter uncertainties. the theory of hybrid force / position control is clear, however, it is difficult to implement
針對實際應用中對不確定的不同要求，又提出了一種具有混合/性能指標的神經網路控制方法，對機器人不確定性（包括參數不確定性和外部擾動）分別進行補償，保證了系統對外界干擾在給定的干擾衰減度下具有魯棒穩定性的同時，還增強了系統對參數不確定性的補償。 -
On the basis of the magnetic circuit structure analysis for the particularity of the structure and the magnetic circuit of the double - stator hybrid direct drive motor ( dshbddm ), the mathematical formula for the important parameters - self - inductance and mutual - inductance of the winding for dshbddm was derived in detail by using the method for the simplified magnetic network model and the characteristic was analyzed
摘要針對串聯磁路結構雙定子混合式直接驅動電動機結構和磁路的特殊性，在分析電機磁路結構的基礎上，利用電機的簡化磁網路模型，詳細推導出串聯磁路結構雙定子混合式直接驅動電動機的重要參數繞組自感與互感的數學表達式，並對其特性進行了分析。 -
Based on the discussions of the conventional and recent methods of short term load forecasting such as time series, multiple regression approaches and artificial intelligence technologies, this paper presents a hybrid short term forecasting model which combines the artificial neural network ( ann ) and genetic algorithm ( ga ). in order to improve the convergence speed and precision of the back - propagation ( bp ), a new improved algorithm - the adapted learning algorithm based on quasi - newton method is given
本文首先分析比較了電力系統短期負荷預測的傳統方法時間序列法和回歸方法以及最近的專家系統和神經網路技術的優點和不足，然後針對人工神經網路bp演算法的不足對其進行了改進，採用了基於擬牛頓的自適應演算法，它提高了網路學習效率，具有較快的收斂速度和較高的精度。接著提出了改進的遺傳演算法來改善神經網路的局部收斂性。 -
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化策略和應用實施方法，包括生產過程離線優化策略、非線性問題求解策略、在線優化模型及學習策略；結合揚州有機化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化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化模型；為求解所得的優化模型，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，建立了基於神經網路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。 -
This thesis studys several distribution network reconfiguration algorithms detailedly, mostly concluding branch - exchange method, optimal flow pattern method, recursive fictitious flow method and hybrid flow pattern method. it analyzes theoretical basis of all algorithms, modified process and basic steps at length. besides it simptylniroduce other distribution reconfiguration algorithms and its development, compares the characters of all algorithms and puts forward a simplied recursive fictitious flow method, then according to a example proves the effect of some algorithms
本論文詳細研究了多種配電網路重構演算法，主要包括支路交換法、最優流模式法、遞歸虛擬流法和混合流模式法，詳細分析了各種演算法的理論依據、改進過程和基本步驟，簡述了其它相關重構演算法的思路及其發展，比較了各種演算法的各類特性，提出了一種簡化遞歸虛擬流演算法，並通過實例證明了幾種重構演算法的有效性。 -
The second is a fuzzy neuron network based hybrid filter, which comprises four basic components : plus - shaped center weighted median filter, cross - shaped center weighted median filter, nine pixels median filter, and a fusion center with fuzzy - neuron network. the proposed filter is able to effectively inherit the merits of the used three filters. the third is a fuzzy reasoning filter based on neural network
第二種是基於模糊神經網路的混合濾波器，主要濾波器模塊有十字型中心加權中值濾波器、交叉型中心加權中值濾波器和9點中值濾波器，信號經過三種濾波器處理後送入一個訓練好的模糊神經網路進行融合處理，得到最終的濾波結果。 -
For short - time natural gas load forecasting. based on analyzing tech situation at home and abroad, considering all kinds of factors which will have influence on load changes, a hybrid approach combined the self - organizing feature map ( sofm ) neural network with multilayer perceptron ( mlp ) is presented, and short - time load forecasting model is established
針對大然氣短期負荷預測的問題，在分析了國內外技術現狀的基礎上，綜合考慮影響負荷變化的各種因素，提出了基於白織織競爭網路和多層感知機網路棍合的大然氣短期負荷預測方法。 -
Research on hybrid network architecture technologies of optical internet
光因特網混合網路結構技術研究
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