最小改善路網 的英文怎麼說

中文拼音 [zuìxiǎogǎishànlùwǎng]
最小改善路網 英文
do minimum network
  • 最 : 副詞（表示某種屬性超過所有同類的人或事物） most; best; worst; first; very; least; above all; -est
  • 小 : Ⅰ形容詞1 （體積、面積、數量、強度等不大） small; little; petty; minor 2 （年紀小的; 年幼的） youn...
  • 改 : Ⅰ動詞1 （改變） change; transform 2 （修改） revise; alter; modify 3 （改正） rectify; correct 4 ...
  • 善 : Ⅰ形容詞1 （善良; 慈善） good 2 （良好） satisfactory; good 3 （友好; 和好） kind ; friendly 4 （...
  • 路 : 1 （道路） road; way; path 2 （路程） journey; distance 3 （途徑; 門路） way; means 4 （條理） se...
  • 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...
  • 改善 : improve; ameliorate; perfect; better; mend; modify; improvement; perfection; melioration
  • 路網 : road net, road network
  1. The artificial neural net ( ann ) way is universal regard as one of the most effective ways of stlf. in this paper, some research is developed for stlf using ann ways in several parts : the first part is about the arithmetic of ann based on bp model, namely the advanced of traditional bp arithmetic, one alterable step and scale bp arithmetic based on comparability of model and probability of accepting bp arithmetic is used to enhances a lot the convergence rate of learning process of bp network, but also avoid the stagnation problem to some extent. it indicates that the ann ' s efficiency and precision by the way can be ameliorated by the simulation of real data

    神經網路方法在短期預測中已經被公認為較有效的方法，本文針對神經網路用於電力系統短期負荷預測的幾個方面展開研究工作：第一部分研究一般用於負荷預測的神經網路bp模型的演算法，即對傳統的bp演算法的改進，將一種基於模式逼近度和接受概率的變步長快速bp演算法應用到短期負荷預測，模擬結果表明該方法有效的改善了bp演算法收斂速度慢以及容易陷入局部最小點的缺點，從而提高了神經網路用於負荷預測的效率和精度。
  2. A lot of applications in broad bandwidth ip network are based on non - real - time communication by comparison with atm. we present dynamic virtual rate scheduling policy and limited difference - of - clock hybrid packet scheduling. they do n ' t only guarantee upper bound of traffic delay that is equal to vc and wfq ' s, but also optimize non - real - time communication by way of preventing real - time traffic from unfairly engaging network resource

    相對atm網路，寬帶ip網路中有大量的網路應用以非實時通信為基礎，本文提出了動態虛速率調度策略和有限時鐘差混合包調度演算法，與vc 、 wfq等調度演算法相比，不僅同等地確保實時通信的最小時延上界，而且通過限制實時通信對網路資源的不合理佔用，使得實時通信和非實時通信公平合理地共享網路資源，優化了非實時通信的轉發性能，改善了網路資源的有效利用率。
  3. In training of back - propagation neural network, parameter adaptable method which can automatically adjust learning rate and inertia factor is employed in order to avoiding systemic error immersed in a local minimum and accelerating the network ' s convergence ; introduced the further optimization of the network ' s structure, it gives the research result of selection of the hidden layers, neurons, and the strategy of re - learning, compared the sums of the deviation square of this algorithm with conventional bp algorithm, as a result, the approach accuracy and the generalization ability of the network were extremely improved

    在對前饋神經網路的訓練中，使用參數自適應方法實現了學習率、慣性因子的自我調節，以避免系統誤差陷入局部最小，加快網路的收斂速度；提出了優化bp網路結構的實驗研究方法，並給出了有關隱含層數和節點數選擇以及再學習策略引進的研究結果。將該演算法同傳統bp演算法的預測偏差平方和進行比較，結果證實網路的逼近精度及泛化能力均得到了極大的提高和改善。
  4. And then, to improve the living function of road space and amend simpleness of function and form, we must analyse road space from these aspects, such as whole control, detail design and the image of road space with residents activity etc. so to establish the living function of road space in residential quarter, we need to set up the road system, confirm scale, elect transport mode in whole and create site adjust criterion, use original landscape elements in detail. in addition, advancing the visualization of road space is also one way to set up the connection between residents activity and the image of road space. at last, we introduce several successful cases in foreign country and analys a case in our country. we hope we can go on the research in - depth in the furture

    然後，我們分別從整體控制、細部生成及道路意象與居民活動的互動來改善道路的單一和簡化，提高其可居性。這樣，通過對道路空間宏觀上道路網路的形成、規模的確定、交通方式的選擇和細節上場所的創造、尺度的調節、原風景元素的運用，以及通過提升道路形象來形成道路意象與居民活動的互動，從而建立一種可居的居住小區道路空間。最後，介紹和分析了幾個國外成功的住區空間可居性規劃理念和國內的設計實踐，並期待隨著小區的發展，在將來作更深入的研究。
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