cluster number in Chinese
Translation
Mobile
- 簇號
- "cluster" in Chinese : n. 1.叢集；叢；(葡萄等的)串，掛；(花)團；(秧) ...
- "number" in Chinese : n. 1.數(shù)；數(shù)字；〔pl.〕算術(shù)。 2.(汽車等的)號 ...
- "a cluster" in Chinese : 自力村碉樓群
- "a cluster of" in Chinese : 一串/叢; 一串，一束，一群; 一群、一組; 一群；一組
- "cluster" in Chinese : n. 1.叢集；叢；(葡萄等的)串，掛；(花)團；(秧)蔸；組。 2.(蜂、 ...
- "a number of" in Chinese : 大量,許多; 若干，許多; 若干的；許多的; 一些,許多; 一些，許多
- "in number" in Chinese : 總共, 在數(shù)字上
- "no number" in Chinese : 數(shù)字號碼; 無號碼
- "no=number" in Chinese : 第號
- "not number" in Chinese : 音符號
- "number" in Chinese : n. 1.數(shù)；數(shù)字；〔pl.〕算術(shù)。 2.(汽車等的)號碼；第…，第…卷，第 ...
- "t-number" in Chinese : 值光圈
- "t-number t" in Chinese : 值光圈
- "the number of" in Chinese : 什么的數(shù)量; 數(shù)量
- "to number" in Chinese : number]周轉(zhuǎn)率; 周轉(zhuǎn)率,轉(zhuǎn)換數(shù),酶變率
Examples
- When they come to how to confirm the cluster number , they either give no answer , or enumerate it
至于聚類數(shù)的確定問題，要么未給出答案，要么使用窮舉法。 - So the current question is whether we can confirm the cluster number directly , not using any assumptions
因此現(xiàn)在的問題是我們能否比較方便地直接確定聚類數(shù)，而不需任何假設(shè)。 - When the a system routes a message it processes the point code ? ottom up ? member number , cluster number , network id
系統(tǒng)路由消息時會按照成員號、群集號和網(wǎng)絡(luò)id的順序自底向上地處理點編碼。 - The prominent advantage of neoren algorithm makes neoren fit for the applications sensitive to cluster errors rather than cluster numbers
Neoren聚類算法的這一特點使得其非常適合于對聚類錯誤敏感、而對聚類數(shù)要求不高的應(yīng)用領(lǐng)域。 - But , in this aspect , many content work has been done , so the paper will choose a right clustering rule based on the work of them , in order to confirm cluster number directly under no assumptions
但是，在此方面，人們已經(jīng)做了很多有意義的工作，所以本文將在前人的基礎(chǔ)上選擇一個恰當(dāng)?shù)木垲悳?zhǔn)則函數(shù)，以便在無任何假設(shè)條件的前提下比較簡單地直接確定聚類數(shù)。 - As for fuzzy c - means clustering algorithm , we introduced the concept of validity function to solve problems about partial optimization and how to decide the cluster number . third , we borrowed the software of matlab and spss and did experiment on a set of data . the experiment showed that the matlab program was simple and the speed was quick so that it could be applied in large number of data
在模糊c均值聚類算法中引入了有效性函數(shù)的概念，從而部分克服了模糊c均值聚類算法局部最優(yōu)和無法確定聚類的類數(shù)的問題；其次，借助matlab和spss軟件，以一組數(shù)據(jù)為案例，利用matlab編程，給出實驗示例。 - To solve the problems of adaptive determinition of the cluster number , flexible objective function definition and approximate optimal computation in clustering analysis , a ga - based divisive hierarchical clustering algorithm ( gadhc ) was proposed , which integrated some features of divisive hierarchical clustering algorithm and binary genetic clustering algorithm
摘要針對聚類中自適應(yīng)確定聚類個數(shù)、目標(biāo)函數(shù)靈活定義及優(yōu)化的近似計算等問題，綜合了分裂式層次化聚類算法能根據(jù)相似度閾值自適應(yīng)地確定聚類個數(shù)的特點及二進制遺傳聚類算法具有較強的搜索近似最優(yōu)解能力及目標(biāo)函數(shù)定義靈活的特點，提出了一種基于遺傳算法的分裂式層次化聚類方法。 - The number of fuzzy cluster neuron is equal to the fuzzy cluster number , and the neuron output is one element of the membership matrix . 4 . use hybrid fuzzy neural network modeling method and recipe fuzzy cluster method , a robust method to recipe - changing was presented . a multi - continuous parameters and one - recipe to one - output fuzzy neural network was designed to model the fouling in batch process
浙江大學(xué)博士學(xué)位論文4 、針對間歇過程中使用模糊神經(jīng)網(wǎng)絡(luò)建模和測量對于配方變化較為敏感的問題，使用配方模糊聚類方法和混合模糊神經(jīng)網(wǎng)絡(luò)建模方法，設(shè)計了一個由多個連續(xù)型操作參數(shù)輸入和1個離散型配方變量輸入的配方混合模糊神經(jīng)網(wǎng)絡(luò)，用于污垢的建模和預(yù)測。 - 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
針對模糊聚類算法不適應(yīng)復(fù)雜環(huán)境的問題,提出了一種新的動態(tài)進化聚類算法,克服了傳統(tǒng)模糊聚類建模算法須事先確定規(guī)則數(shù)的缺陷.通過改進的遺傳策略來優(yōu)化染色體長度,實現(xiàn)對聚類個數(shù)進行全局尋優(yōu);利用fcm算法加快聚類中心參數(shù)的收斂;并引入免疫系統(tǒng)的記憶功能和疫苗接種機理,使算法能快速穩(wěn)定地收斂到最優(yōu)解.利用這種高效的動態(tài)聚類算法辨識模糊模型,可同時得到合適的模糊規(guī)則數(shù)和準(zhǔn)確的前提參數(shù),將其應(yīng)用于控制過程可獲得高精度的非線性模糊模型
- More examples： 1 2
Other Languages
- "cluster number" meaning in Japanese: 《コ》クラスタ番號｛ばんごう｝
Related
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