three-stage network 中文意思是什麼

three-stage network 解釋
三級網路
  • three : n. 1. 三個人[東西]。2. 三歲,三時。3. 【板球】3字型。
  • stage : n 1 講臺;舞臺;戲院,劇場;〈the stage〉戲劇,戲劇藝術;戲劇文學;〈the stage〉戲劇業;劇壇。2 ...
  • network : n. 1. 網眼織物。2. (鐵路、河道等的)網狀系統,網狀組織,廣播網,電視網,廣播[電視]聯播公司。3. 【無線電】網路,電路。4. 【計算機】電腦網路,網。
  1. In this paper we study incumbent firms ' compatibility decisions when market entry of competitive firm may occur by using a three - stage game theory model with network externalities

    本文構建了一個三階段動態博弈模型,研究了面對潛在競爭企業的市場進入威脅時,在位企業之間的兼容性決策問題。
  2. Use of time sequence method to predict the future growth trend of the fixed network telecom industry revenue ; contrasting the fixed telephone development of town and village, adopting logistic growth curve econometrics method to analyze three development stages of chinese village fixed telephone market ; draw a conclusion that the chinese village fixed telephone has a huge development potential ; and predict the development trend of village fixed network telecom in several years ; adopting logistic growth curve method to calculate and analyze internet business growth stage ; while studying internet development potential, we draw a conclusion that internet business also have a good growth foreground, and give a quantitative predict of internet industry development

    運用時間序列外推法預測未來固網電信業收入增長趨勢;通過城鎮與農村固定電話發展對比,採用logistic成長曲線計量經濟方法分析了中國農村固定電話市場發展的三個階段,認為中國農村固定電話處于高速發展的中期,具很大的發展潛力,並定量預測出未來中國農村固話發展趨勢;在研究網際網路及寬帶接入業務發展潛力時,同樣採用logistic成長曲線計量方法,分析了網際網路業務成長階段,得出網際網路業務尤其是寬帶業務具有很好的增長前景的結論,並定量預測出未來網際網路業務、寬帶業務的增長趨勢。
  3. The flood and drought in both first stage and second stage of rainy season in fujian province were forecasted by the ways of line regression prediction equation and three kinds of artificial neural network models, the results show : the backpropagation ( bp ), radial basis function ( rbf ) and elman neural network models are much better than line regression prediction equation in historical sample fittings, independent sample test, actual prediction ability

    ( 3 )運用線性回歸預報方程和三種人工神經網路模型對福建汛期旱澇進行預測的實驗表明: bp 、徑向基( rbf )和elman這三種人工神經網路模型在歷史樣本擬合精度上、獨立樣本檢驗結果和網路模型的實際預測能力上都明顯優于傳統的線性回歸方法。
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