convergence n. 1.聚合,會(huì)聚,輻輳,匯合。 2.集合點(diǎn);【數(shù)、物】收斂;【生物學(xué)】趨同(現(xiàn)象)。
probability n. 1.或有;或然性。 2.【哲學(xué)】蓋然性〔在 certainly 和 doubt 或 posibility 之間〕。 3.【數(shù)學(xué)】幾率,概率,或然率。 4.或有的事;可能的結(jié)果。 5.〔pl.〕〔美俚〕天氣預(yù)測(cè)。 What are the probabilities 有幾分把握? The probabilities are against us [in our favour]. 趨勢(shì)對(duì)我們好像不利[有利]。 hit probability 命中率。 in all probability 很可能,大概,多半,十之八九。 probability of (missile survival) (飛彈不被擊落的)概率。 The probability is that ... 大概是…,很可能是…。 There is every probability of [that] ... 多半有,多半會(huì)。 There is no probability of [that] ... 很難有,很難會(huì)。
Through almost sure convergence of random variables , the probability convergence can be derived ; and further the weak convergence can be derived 摘要由隨機(jī)變量序列幾乎處處收斂可推出其依概率收斂,進(jìn)而可推出其依分布收斂,可見(jiàn)判別幾乎處處收斂的重要性。
This paper gaves its equivalent propositions and proves that a . s . convergence of independent random variables ' s sum variables is equivalent to its probability convergence , and equivalent to its weak convergence 給出了它的幾個(gè)等價(jià)命題,同時(shí)還證明了獨(dú)立隨機(jī)變量和序列幾乎處處收斂等價(jià)于依概率收斂,亦等價(jià)于依分布收斂。
The two - stage modeling method takes into account the characteristics of software project risk management and software metrics data , integrates qualitative knowledge and quantitative data . to study the software project iterative process risk ’ s bayesian network model , the definition of cyclic bayesian network is presented , probability convergence property of directed cycle in cyclic bayesian network is proved and probability inference method is put forward 論文在軟件項(xiàng)目迭代過(guò)程風(fēng)險(xiǎn)的貝葉斯網(wǎng)絡(luò)模型研究中,定義了有環(huán)貝葉斯網(wǎng)絡(luò),證明了有環(huán)貝葉斯網(wǎng)絡(luò)中有向環(huán)的概率收斂性質(zhì),給出了有環(huán)貝葉斯網(wǎng)絡(luò)的概率推理方法。
The major tasks include : ( 1 ) expand the schema theorem for ga . the schema theorem with binary coding advanced by professor holland is expanded to limited integer , letter , floating point numbers the number of which value is limited , and their hybrid coding . ( 2 ) put forward replacing by the excellent chromosome ga ( recga ) , superiority colony first ga ( scfga ) and improve the ga ; ( 3 ) make probability convergence analysis of recga using the theory of markov chain , random process ; ( 4 ) make convergence analysis of scfga using the principle of contractive mapping in functional analysis theory ; ( 5 ) design the test programs ( cap ) to resolve np problems ( course arrangement ) with gas ; based on recga , modify the arithmetic and then conduct tests 主要有以下幾方面工作: ( 1 )將二進(jìn)制編碼遺傳算法的模式定理擴(kuò)展到由有限整數(shù)、字母或取值個(gè)數(shù)有限的浮點(diǎn)數(shù)編碼,或它們混合編碼的遺傳算法范圍; ( 2 )提出最佳個(gè)體替換策略遺傳算法( recga ) 、優(yōu)勢(shì)群體優(yōu)先策略遺傳算法( scfga ) ,對(duì)遺傳算法進(jìn)行改進(jìn); ( 3 )使用隨機(jī)過(guò)程理論markov鏈對(duì)recga進(jìn)行了收斂性分析; ( 4 )使用泛函分析理論壓縮映射原理對(duì)scfga進(jìn)行了收斂性分析; ( 5 )使用遺傳算法設(shè)計(jì)了解決np類(lèi)問(wèn)題(排課問(wèn)題)的測(cè)試程序( cap ) ,并根據(jù)recga對(duì)算法進(jìn)行改進(jìn)并進(jìn)行測(cè)試。