易陷於 的英文怎麼說

中文拼音 [yìxiànyú]
易陷於 英文
liability
  • 易 : Ⅰ形容詞1. （容易） easy 2. （平和） amiable Ⅱ動詞1. （改變; 變換） change 2. （交換） exchange Ⅲ名詞（姓氏） a surname
  • 陷 : Ⅰ名詞1 （陷阱） pitfall; trap2 （缺點） defect; deficiency Ⅱ動詞1 （掉進） get stuck or bogged do...
  • 於 : 於名詞（姓氏） a surname
  • 陷於 : sink into; fall into; land oneself in; be caught in
  1. The traditional neural networks, bp networks, are subject to three hardly conquerable drawbacks in network training and network design a long time, including slow training speed, the training tending to sinking into local minimum and the trained networks having poor generalization capability

    傳統的神經網路（ bp網路）在網路訓練和網路設計上長期受困於三個難以克服的缺陷，即網路訓練速度慢、訓練易陷入局部極小點和網路學習的推廣性能差。
  2. The parties concerned have replied, that their trade, by this continual exportation of silver, might, indeed, tend to impoverish europe in general.

    有關的方面回答說，由於這種不斷地輸出白銀，他們的貿易一般說來可能使歐洲陷於貧困。
  3. This brought all trade to a standstill.

    這使一切貿易陷於停頓。
  4. Instruction detection technology is core in instruction detection system, it include abnormity instruction and abused instruction detection, on the basis of traditional network security model, ppdr model, instruction detection principle and instruction technology analysis, the author has brought forward instruction detection method based genetic neural networks, adopted genetic algometry and bp neural networks union method, and applied in instruction detection system, solve traditional bp algometry lie in absence about constringency rate slowly and immersion minim value

    入侵檢測分析技術是入侵檢測系統的核心，主要分為異常入侵檢測和誤用入侵檢測。作者在對傳統網路安全模型、 ppdr模型、入侵檢測原理以及常用入侵檢測技術進行比較分析的基礎上，提出了一個基於遺傳神經網路的入侵檢測方法，採用遺傳演算法和bp神經網路相結合的方法?遺傳神經網路應用於入侵檢測系統中，解決了傳統的bp演算法的收斂速度慢、易陷入局部最小點的問題。
  5. Initiative and surprise - the sheer speed and power of rapidly advancing forces and heavy bombardment in its territory, especially when it comes without warning, can easily shock every enemy

    主動權和突然性? ?在沒有任何預警的情況下，快速推進部隊的驚人的速度和力量和對敵領土的狂轟濫炸能夠輕易地使敵人陷於休克狀態。
  6. 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。
  7. Objective standard comp lamented with subjective one should be adopted. in view of its great tendency to illegality, the scope of application, the object as well as authorizing and supervising procedures on enticing act of investigation should be strictly controlled in legislation

    由於誘惑偵查具有極大的危險性，一旦適用不當，容易陷人于罪，因此，誘惑偵查的立法建構應當對其適用范圍、適用對象，審批程序等進行嚴格的控制。
  8. This paper exhausts fully adjustable factor which could amend the dynamic function in fuzzy control system, and that traditional algorithms select factors with intercession is easy to get a partial solution, so this paper presents a new method to select factors based on genetic algorithm. this method has a large range over covered the solutions which could benefit to search the best solutions. it has great character and advantage

    本文充分闡述了可調整因子在模糊控制中能夠改善了系統的動態性能，並根據傳統的優化演算法在選取控制因子時是從單個初始值迭代求取最優解的、很容易陷入局部最優解這一問題，提出了一種基於遺傳演算法的可調整因子的選取方法，這種方法覆蓋面比較大，有利於全局擇優。
  9. American financial institutions were barred from dealing with the bank, which has collapsed as a result of the investigation

    美國金融機構已經被禁止與該銀行進行任何交易，調查結束后，匯業銀行已陷於崩潰。
  10. A complex particle swarm optimization ( cpso ) algorithm, which combines the advantages of method of complex ( mc ) and particle swarm optimization ( pso ), is put forward to solve systems of nonlinear equations, and it can be used to overcome the difficulty in selecting good initial guess for newton ' s method and the inaccuracy of mc and pso due to being easily trapped into local minima for solving systems of nonlinear equations

    摘要結合復形法與粒子群演算法的優點，提出粒子群復形法，用於求解非線性方程組，以克服牛頓法初始點不易選擇的問題，同時克服復形法與粒子群演算法由於易陷入局部極值而導致方程組的解的精度不夠的不足。
  11. Unless firms have patents of their own to assert so they can reach a cross - licensing agreement ( often with money changing hands too ), they will be in trouble

    除非企業也取得了自己的專利，與他人進行交叉許可，金錢交易，企業往往會陷於麻煩。
  12. The non - linear inversion methods are developed to overcome the difficulties met when the linear inversion methods are used in the geophysical inversion problems. this paper presents the simulated annealing is hopeful for the inversion problem of resistivity map reconstruction. due to the slow speed caused by the global searching, so for, the method is limited in the processing the 1 - d model

    為了克服像傳統線性反演方法中解易陷入局部極小的不足，本文採用了模擬退火這種非線性方法實現了高密度電法一維反演，初步取得到較好反演結果，但由於它隨機搜索全局解空間，計算量非常大，因此目前主要應用於一維地電結構的反演。
  13. Conventional clustering criteria - based algorithms is a kind of local search method by using iterative mountain climbing technique to find optimization solution, which has two severe defects - sensitive to initial data and easy as can get into local minimum

    傳統的基於聚類準則的聚類演算法本質上是一種局部搜索演算法，它們採用了一種迭代的爬山技術來尋找最優解，存在著對初始化敏感和容易陷入局部極小的致命缺點。
  14. If you had no enemy, you are apt to be in the same predicament in regard to friend

    假使你全無仇敵，那麼在朋友方面就易陷於同樣的貧乏了。
  15. The bp neural network has the ability to solve many practical problems because of its strong mapping. however, it has slow convergence rate and is prone to fall into local extremum

    Bp神經網路具有很強的映射能力，可以解決許多實際問題，但同時還存在著收斂速度慢，易陷於局部極小的缺點。
  16. In dealing with the problem of particle swarm optimization ( pso ) algorithm evolving program, this paper aims at an adoption of simulated annealing ( sa ) to improve the particle swarm algorithm and establish an sa - pso optimization model

    摘要針對粒子群優化演算法後期易陷於局部最小的缺點，引入模擬退火思想，建立模擬退火粒子群優化演算法。
  17. But it is n ' t ideal because it is fallible in solving down - to - earth questions. for example, it is easy for the system to fall into local optimization state when learning algorithm is unsuitable. furthermore, there is a conflict between the complexity of network and generalization ability

    而神經網路具有一些獨特的優點，如非線性映射、容錯能力等，因而相對于其它方法，神經網路在數據挖掘中具有更大的前景，但神經網路也存在一些問題，比較典型的包括在學習演算法選擇不當時，系統易陷於局部極優狀態，網路的復雜度與泛化能力之間存在矛盾等等。
  18. The simulation tests result indicates that the speed and precision of sample training are increased because of sample clustering for fuzzy modular networks. and the problem of slow training speed and local minimum point are avoided when bp networks are applied in the fault diagnosis of complex boiler

    本文所建的用於鍋爐故障診斷的模糊模塊化神經網路模型因進行了樣本聚類，實驗結果表明：其網路訓練的速度和精度明顯提高，同時有效地解決了bp網路應用於復雜的鍋爐系統故障診斷時，存在訓練收斂慢並容易陷入局部最小點的問題。
  19. A high precision chaotic optimization strategy was applied to parameter identification of power system static load model and the deficiency of traditional methods were effectively overcome which are easily being trapped in local optima

    將一種高精度的混沌優化策略用於電力系統靜態負荷模型參數辨識，克服了傳統的基於梯度尋優的辨識方法容易陷入局部最優點的不足。
  20. But it has intrinsic defects such as low convergence and local minimum because the negative gradient method is adopted in weight adjusting. an improved rbf network is introduced which has the advantage in digital approximation, classification and learning rate and at the same time, the corresponding sensibility is also analysed

    但bp網路在用於函數逼近時，權值的調節採用的是負梯度下降法，這種調節方法有它的局限性，如收斂速度慢和容易陷入局部極小等缺點。
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