single node network 中文意思是什麼
single node network
解釋
單結點網路-
The development of fieldbus technology made lonworks field bus outstanding in all kinds of fieldbus. this paper simply introduces some kinds of common using fieldbus and the important position and influence of lonworks fieldbus in all kinds of fieldbus, carefully describes the technology core of lonworks technology, puts great emphasis on the introduction of the development and design of public security node of intelligent district which adopts computer, communication and control technology, carefully designs the interfaces of hardware circuits. the public security node of intelligent adopts 8031 single chip as its main processor to complete the application program of user, which mainly collects, process and control all kinds of field signal, and neuron chip 3150 as its slave processor to communicate with other nodes on field network, which works under parrel slave a mode
現場總線技術的發展使得lonworks技術脫穎而出，本文簡要介紹了常用的幾種現場總線的概況以及lonworks技術在現場總線技術中的地位和影響，對lonworks技術的技術核心：神經元晶元、 lontalk協議、 lonworks收發器、 lonbuilder及nodebuilder進行詳盡的描述；重點介紹了集先進的計算機技術、通信技術、控制技術為一體的智能小區安防節點的開發與研製，對節點硬體電路的各種介面進行了詳盡的設計。本文設計的智能小區安防節點採用單片機8031作為主處理器來完成用戶的應用程序，主要負責對各種現場信號進行採集、處理及控制，工作在并行從a方式下的神經元晶元mc3150作為從處理器，主要完成與現場網路上的各節點及中心控制室之間的通信工作。 -
With regard to the flow regulation of the best - effort traffic, the controllable traffic in high speed computer communication networks, the present paper proposes a novel control theoretic approach that designs a proportional - integrative ( pi ) controller based on multi - rate sampling for congestion controlling. based on the traffic model of a single node and on system stability criterion, it is shown that this pi controller can regulate the source rate on the basis of the knowledge of buffer occupancy of the destination node in such a manner that the congestion - controlled network is asymptotically stable without oscillation in terms of the buffer occupancy of the destionation node ; and the steady value of queue length is consistent with the specified threshold value
本文從控制理論的角度出發，針對計算機高速網際網路中最大服務交通流即能控交通流的調節問題提出了一種基於多速率采樣的具有比例積分（ pi ）控制器結構的擁塞控制理論和方法，在單個節點的交通流的模型基礎上，運用控制理論中的系統穩定性分析方法，討論如何利用信終端節點緩沖佔有量的比例加積分的反饋形式來調節信源節點的能控交通流的輸入速率，從而使被控網路節點的緩沖佔有量趨于穩定;同時使被控網路節點的穩定隊列長度逼近指定的門限值。 -
In twt photonic burst network, the bandwidth granularity is a single timeslot rather than a whole wavelength, so the bandwidth can be used more efficiently ; what is more, the dynamic bandwidth allocation is based on the reservation information of every edge node, so it can meet the challenge of burtsy ip traffic
在twt光突發網路中，帶寬分配的粒度被減小至單個時隙，而不是整個波長，因此能夠使得帶寬的利用更充分有效;另外，帶寬的分配是依據各邊緣節點的帶寬預約信息而動態進行的，因此能夠適應ip數據流量具有的高突發性。 -
High capacity bandwidth cross - management equipment is a new type of network element, which can integrate all the access and transfer facilities into a single network node
大容量帶寬交叉管理設備是一種新型的網路單元，它可以把所有的接入設施和傳送設施綜合在單一的網路節點內。 -
Based on the multifunctional combined sensors, application system was succeeded, which consists of multifunctional sensor data acquisition, single chip computer, data display, and controller area network ( can ) - bus protocol node unit
以多功能組合傳感器為基礎，設計了多功能組合傳感器的應用系統。該應用系統在結構上主要包括現場數據採集、單片機、數據顯示以及can總線協議轉換等單元。 -
After designing the hidden - layer structure of network, the neural network data - mending program is developed with matlab, and with the contrast of results gained from single and double hidden - layer the number of hidden - layer is selected. after the training algorithm is studied, using the visual application - designing tool, visual basic, the application adopting the designed algorithm is developed. with plenty of experimental study, the node number of the hidden - layer is decided and the rational algorithm is designed, which can advance the speed of training network, and decrease the probability of running into the local teeny value
在研究網路隱層結構后，用matlab編制了神經網路修補程序，對比單雙隱層結構的修補結果，確定了修補用bp神經網路的隱層數；在研究網路訓練演算法后，利用可視化應用程序開發工具visualbasic ，編制了相應的應用程序，通過大量的實驗研究，確定了網路隱層節點數，設計了合理的網路訓練演算法，提高了網路的訓練速度，減小了網路訓練陷入局部極小的可能性。 -
Higher - order neural network of single _ layer has no trouble of hiding layer node, so training speed is fast ; ability of pattern classified increases ; the classification accuracy of pattern is improved without local optimality problem ; hierarchy can make training speed of each node neural network, and improve the classified accuracy of pattern
單層高階神經網路沒有隱含層節點的困擾，訓練速度更快；模式分類能力更為強大；不存在局部最小的問題，模式分類精度更高；模式的不變性構建於網路結構之中等優點。分層方法能加快各節點神經網路的學習速度，也能提高模式劃分精度。
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