聚合辨識 的英文怎麼說

中文拼音 [jùgěbānzhì]
聚合辨識 英文
cluster identification
  • 聚 : 動詞（聚集; 聚積） assemble; gather; get together
  • 合 : 合量詞（容量單位） ge, a unit of dry measure for grain （=1 decilitre）
  • 辨 : Ⅰ動詞（辨別; 分辨; 明察） distinguish; discriminate; differentiate; recognize Ⅱ名詞（姓氏） a surname
  • 識 : 識Ⅰ動詞[書面語] （記） remember; commit to memory Ⅱ名詞1. [書面語] （記號） mark; sign 2. （姓氏） a surname
  • 聚合 : 1 （聚集到一起） get together2 [化學] （單體結合成高分子化合物） polymerization; polymerize 3 [生...
  • 辨識 : identification辨識符號 identification mark; 辨識技術 identification technique; 辨識器 identifier;...
  1. One of us ( shapiro ) began this research with the realization that the basic operations of certain biomolecular machines within living cells ? recognition of molecular building blocks, cleavage and ligation of biopolymer molecules, and movement along a polymer ? could all be used, in principle, to construct a universal computer based on turing ' s conceptual machine

    這項研究的開端，是本文作者之一夏比洛意識到，細胞內某些生物分子組件的基本運作方式，像是辨認基本分子建構單元、切開和連接生物聚合分子，以及組件沿著聚合分子移動的方式，理論上都能以塗林的概念為基礎，建構普適的計算器器。
  2. In accordance with the problem that the fcm algorithm is quite time - consuming for search out cluster cancroids and may not be suitable for on - line modeling and control. this dissertation proposed an improved fuzzy identification method based multistage random sampling fuzzy c - means clustering algorithm ( mrfcm ). it has higher approximate precision and the cpu time has slowed down sharply compared with the common fuzzy

    Johnyen和liangwang介紹了幾種應用於模糊模型的信息優化準則，本論文在此基礎上對統計信息準則進行一些改進，並與快速模糊聚類和正交最小二乘方法結合，提高了模型的辨識精度和泛化能力。
  3. A novel dynamic evolutionary clustering algorithm ( deca ) is proposed in this paper to overcome the shortcomings of fuzzy modeling method based on general clustering algorithms that fuzzy rule number should be determined beforehand. deca searches for the optimal cluster number by using the improved genetic techniques to optimize string lengths of chromosomes ; at the same time, the convergence of clustering center parameters is expedited with the help of fuzzy c - means ( fcm ) algorithm. moreover, by introducing memory function and vaccine inoculation mechanism of immune system, at the same time, deca can converge to the optimal solution rapidly and stably. the proper fuzzy rule number and exact premise parameters are obtained simultaneously when using this efficient deca to identify fuzzy models. the effectiveness of the proposed fuzzy modeling method based on deca is demonstrated by simulation examples, and the accurate non - linear fuzzy models can be obtained when the method is applied to the thermal processes

    針對模糊聚類演算法不適應復雜環境的問題，提出了一種新的動態進化聚類演算法，克服了傳統模糊聚類建模演算法須事先確定規則數的缺陷.通過改進的遺傳策略來優化染色體長度，實現對聚類個數進行全局尋優;利用fcm演算法加快聚類中心參數的收斂;並引入免疫系統的記憶功能和疫苗接種機理，使演算法能快速穩定地收斂到最優解.利用這種高效的動態聚類演算法辨識模糊模型，可同時得到合適的模糊規則數和準確的前提參數，將其應用於控制過程可獲得高精度的非線性模糊模型
  4. The load characteristics of wastewater treatment by electrocoagulation with dc power supply was investigated. the theoretical model describing the relation between electrolysis voltage and the other variables of an electrocoagulation process was established, the model parameters being determined using least squares identification. moreover, the experiments were performed to validate the established model

    論文對直流電源作用下電凝聚法處理污水負載特性進行了詳細地分析，結合理論建模和最小二乘法參數辨識，得出了相關負載數學模型，並在不同的實驗條件下對模型進行驗證。
  5. A new kind of optimal selection cluster algorithm ( osca ) is presented in this paper, and a new hybrid algorithm is obtained by combining osca with least squares method and gradient algorithm. the algorithm can synchronously solve the identification problems of the new fuzzy neural network model ' s structure and parameters

    提出一種新型優選聚類演算法，並將該演算法與最小二乘法和梯度下降法相結合，形成一種新的混合學習演算法。該演算法能同時解決上述新型模糊神經網路模型結構和參數的辨識問題，進一步提高了模型的辨識精度。
分享友人
分享到 Line

分享到臉書