相鄰立水 的英文怎麼說
中文拼音 [xiānglīnlìshuǐ]
相鄰立水
英文
adjoining aprons-
In chapter 2, the meteorological knowledge, data and the methods of the data processing, related to the study on the atmospheric loads, are simply presented. the model for the perfect gas constant, describes by the relative moisture, is developed. the influences of the variation in the vapor component in the atmosphere on the perfect gas constant are evaluated by using the changing characteristics of the temperature on the surface, its spatial gradient and the barometric pressure
第二章：簡要介紹大氣負荷研究所需的氣象科學知識、資料及其數據處理方法；建立相對濕度表示的大氣比氣體常數模型，利用地面溫度和空間垂直溫度梯度、壓力變化的規律估算大氣水汽組分變化對比氣體常數的影響；對中國及鄰區的地面氣壓記錄進行了預處理和網格化Parameters can be interpreted through the method used in straight wells. after logging curves in horizontal wells are revised to true vertical depth, oil - bearing formation is evaluated through the comparison of wells combined with geological information. logging while drilling have great difference with ordinary cable logging especially in deviated holes and horizontal wells. comparison of cable logging and lwd carried out in different time indicates characters of mud invasion
實際解釋lwd資料時首先需對隨鉆測井資料進行預處理和標準化，然後從隨鉆測井、錄井資料中提取與巖性密切相關的參數，建立測井相-巖相統計模式，並採用灰色關聯識別方法實時判別地層巖性；採用直井的參數解釋方法進行隨鉆地層參數解釋；將水平井的隨鉆測井曲線從實際井深校正到垂直井深上，通過隨鉆測井資料與鄰井測井資料的對比解釋，並結合地質、錄井資料進行隨鉆地層含油氣性評價。Based on systematical study of each constituent of iss, the foundation, computation and precision analysis of the models of geoid, sea surface topography, mean sea surface and ocean tide are mainly discussed ; the conceive of mean sea surface height model and ocean tidal model suitable to chinese near sea and its neighborhood is provided ; two kinds of iss model are derived out
本文在系統研究瞬時海面高各組成要素的基礎上，主要討論了大地水準面模型、海面地形模型、平均海平面模型和海洋潮汐模型的建立、計算以及精度評價等問題；提出了建立適於我國近海及鄰域平均海平面模型和海洋潮汐模型的設想；綜合得出了兩種瞬時海面高模型，並進行了精度估計，編制了相應的軟體。The optimized feature set feeds a 3 - class classification module, which is based on the traditional binary svm classifier. and the proposed linear programming svm reduces the burden of the svm classifier and improves its learning speed and classification accuracy. a new algorithm that combined svm with k nearest neighbor ( knn ) is presented and it comes into being a new classifier, which can not only improve the accuracy compared to sole svm, but also better solve the problem of selecting the parameter of kernel function for svm
在研究了數據挖掘、支持向量機及其有關技術的基礎上，建立了實現三類水中目標識別的svm方法；採用線性規劃svm解決了傳統二次規劃svm在海量樣本情況下導致的時間和空間復雜度問題；提出了將最近鄰分類與支持向量機分類相結合的svm - knn分類器應用於水中目標識別的思想，較好地解決了應用支持向量機分類時核函數參數的選擇問題，取得了更高的分類準確率。分享友人