number n. 1.數(shù);數(shù)字;〔pl.〕算術(shù)。 2.(汽車等的)號碼;第…,第…卷,第…期〔通常略作 No. (復數(shù) Nos.),用于數(shù)字之前〕。 3.伙伴;號子,囚犯。 4.數(shù)目;〔pl.〕大批,數(shù)量上的優(yōu)勢,許多,若干。 5.【樂、韻】音律,韻律;〔pl.〕【音樂】樂譜,調(diào)子,節(jié)奏,拍子;〔pl.〕【詩】詩,韻文;【語法】數(shù)。 6.〔口語〕(從多數(shù)當中挑選出來的)人,物。 7.一群人,一幫人。 cardinal [ordinal] numbers 基[序]數(shù)。 an even [odd] number 偶[奇]數(shù)。 a whole [an integral] number 整數(shù)。 the acid number 【化學】酸值。 the atomic number 原子序數(shù)。 a high [low] number 大[小]數(shù)。 the science of numbers 算術(shù)。 a telephone number 電話號碼。 the number of a car 車號。 a dead number 空號。 the April number (雜志的)四月號。 Nos. 1-5 第一號到第五號。 No. 9 (pill) 〔美軍〕百寶丹,清導丸,通便丸。 He is not of our number. 他可不是我們中的一分子。 He is among the number of the dead. 他也在死亡之列。 a number of books 許多書。 a great [large] number of people 很多很多的人。 the singular [plural] number 單[復]數(shù)。 a number of 若干;〔口語〕=numbers of 許多的。 back number 過了期的一期報刊雜志;過時的人或事物;落后、頑固、反動的人物。 by number= in numbers. get [have] sb.'s number 〔美俚〕對某人的性格、動機等作確實的估價。 have sb.'s number on it 〔美俚〕注定是某人死亡的原因。 in number 總共;用數(shù)字表示,在數(shù)字上。 in numbers (雜志等)分為數(shù)冊,分數(shù)次(The story is issued in numbers. 那部小說是分冊出版的)。 in round numbers 以整數(shù)[約數(shù)]表示;約莫,大概;總而言之。 lose the number of one's mess 〔英海軍行話〕死,“報銷”。 make up by numbers 以多為勝。 number one 1. 頭號(的),第一流(的)。 2. 〔口語〕自己;自己的利益(take care of [look after] number one 替自己打算)。 3. 〔口語〕小便。 numbers pool 猜數(shù)字小賭博。 One's number is up. 〔俚語〕某人劫數(shù)[死期]已到。 one's number two 副手,副職,接班人。 one's opposite number 對等的人[物]。 out of [without] number(s) 無數(shù)的。 the numbers =numbers pool. There are numbers who .... …的人很多。 to the number of …多到。 win by (force of) numbers 靠人多得勝。 without [beyond] number=out of number. vt. 1.給…編號[記號數(shù),加號碼]。 2.達…之數(shù),共計…,(人口)有…。 3.算入…(數(shù))內(nèi);認為 (among in with)。 4.〔主用被動形〕已有限定,有限;〔古,雅〕數(shù),計算。 5.活了…歲,足…歲。 The guests number 20. 客人有二十位。 His days are numbered. 他(在世)的日子不多了。 vi. 算在…數(shù)內(nèi);計;報數(shù)。 number off 〔上操〕報數(shù);〔口令〕號碼! n. -er 編號人;計數(shù)員。
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?shù)木垲悳蕜t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 浙江大學博士學位論文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