記憶計量表 的英文怎麼說

中文拼音 [jìyìjìliángbiǎo]
記憶計量表 英文
mnemometer
  • 記 : Ⅰ動詞1 （把印象保持在腦子里） remember; bear in mind; commit to memory 2 （記錄; 記載;登記） writ...
  • 憶 : 動詞（回想; 記得） recall; recollect
  • 計 : Ⅰ動詞1 （計算） count; compute; calculate; number 2 （設想; 打算） plan; plot Ⅱ名詞1 （測量或計算...
  • 量 : 量動1. （度量） measure 2. （估量） estimate; size up
  • 表 : Ⅰ名詞1 （外面;外表） outside; surface; external 2 （中表親戚） the relationship between the child...
  • 記憶 : 1 （記住或想起） remember; recall 2 （保持在腦子里的印象） memory 3 [自動化] storage; 記憶符號 mn...
  • 量表 : scale量表程序 scalogram
  1. In those days, constrained by available computer speed and memory resources, nwp model could only simulate a limited region of the atmosphere using a 100 km by 100 km grid fig. 2 and calculation was limited to once per day

    當年受制於計算機所能提供的運算速度及記憶容量，數值模擬只能夠把有限區域的大氣層切割成100公里x 100公里的方格圖表2進行計算，而每天亦?可以運算一次。
  2. In those days, constrained by available computer speed and memory resources, nwp model could only simulate a limited region of the atmosphere using a 100 km by 100 km grid ( fig. 2 ) and calculation was limited to once per day

    當年受制於計算機所能提供的運算速度及記憶容量，數值模擬只能夠把有限區域的大氣層切割成100公里x100公里的方格（圖表2 ）進行計算，而每天亦?可以運算一次。
  3. The fourth chapter " reseach on fractai structure of stock price " anaiyzed the fractai structure of stock price, deduced the investment function, caiculated the hurst exponent, 3 correlation dimension, and max lyaponov exponent, analyzed the self - similarity, long range dependence, circulation period of stock price and sensitivity of stock price to the initial value, suggested took the exponent characterize fractal instead of variance as instrument to measure risk

    第四章分析並檢驗了股票市場的分形混沌特徵，推導了投資函數，計算了表徵股票市場分形特徵的hurst指數，關聯維和最大lyapunov指數，分析了股票價格的自相似性、長期記憶和循環周期，分析了股票價格的波動對初始條件的敏感性，提出中國股票市場具有混沌分形的特性，用傳統的方差法度量股票風險是無效的，必須使用混沌分析能夠理論來刻畫股票收益的風險，建立收益模型。
  4. The characteristics of quantum computing and the mechanism of immune evolution are analyzed and discussed. inspired by the mechanism in which immune cell can gradually accomplish affinity maturation during the self - evolution process, a immune evolutionary algorithm based on quantum computing ( mqea ) is proposed. the algorithm can find out optimal solution by the mechanism in which antibody can be clone selected, memory cells can be produced, similar antibodies can be suppressed and immune cell can be expressed as quantum bit ( q - bit ). it not only can maintain quite nicely the population diversity than the classical evolutionary algorithm, but also can help to accelerate the convergence speed and converge to the global optimal solution rapidly. the convergence of the mqea is proved and its superiority is shown by some simulation experiments in this paper

    分析和探討了量子計算的特點及免疫進化機制，並結合免疫系統的動力學模型和免疫細胞在自我進化中的親和度成熟機理，提出了一種基於量子計算的免疫進化演算法.該演算法使用量子比特表達染色體，通過免疫克隆、記憶細胞產生和抗體相似性抑制等進化機制可最終找出最優解，它比傳統的量子進化演算法具有更好的種群多樣性、更快的收斂速度和全局尋優能力.在此不僅從理論上證明了該演算法的收斂，而且通過模擬實驗表明了該演算法的優越性
  5. Abstract : the characteristics of quantum computing and the mechanism of immune evolution are analyzed and discussed. inspired by the mechanism in which immune cell can gradually accomplish affinity maturation during the self - evolution process, a immune evolutionary algorithm based on quantum computing ( mqea ) is proposed. the algorithm can find out optimal solution by the mechanism in which antibody can be clone selected, memory cells can be produced, similar antibodies can be suppressed and immune cell can be expressed as quantum bit ( q - bit ). it not only can maintain quite nicely the population diversity than the classical evolutionary algorithm, but also can help to accelerate the convergence speed and converge to the global optimal solution rapidly. the convergence of the mqea is proved and its superiority is shown by some simulation experiments in this paper

    文摘:分析和探討了量子計算的特點及免疫進化機制，並結合免疫系統的動力學模型和免疫細胞在自我進化中的親和度成熟機理，提出了一種基於量子計算的免疫進化演算法.該演算法使用量子比特表達染色體，通過免疫克隆、記憶細胞產生和抗體相似性抑制等進化機制可最終找出最優解，它比傳統的量子進化演算法具有更好的種群多樣性、更快的收斂速度和全局尋優能力.在此不僅從理論上證明了該演算法的收斂，而且通過模擬實驗表明了該演算法的優越性
  6. In the last section of this article, many correlations, including biasi correlation, sudo correlation, cise correlation, and 1995 look - up table, are compared with our experimental data. based on these results, evaluations on these correlations are provided, and because of lack of considering on up - stream memory effect, the correlations which mainly predict chf value based on local parameters, have considerable error

    針對目前文獻中存在的大量的chf經驗公式以及圖表，本文通過實驗數據與biasi公式， sudo公式， cise公式， groenveled的95look - uptable以及hewitt & kearsey關聯式計算值的對比，進行了對這些公式的評價，發現由於大部分的公式其臨界的判斷主要基於局部參數，沒有考慮到上游記憶效應，計算結果存在顯著誤差。
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