sea basing 中文意思是什麼

sea basing 解釋
海上駐扎
  • sea : SEA = Southeast Asia 東南亞。n 1 海;海洋;內海;大(淡水)湖。2 〈pl 或與不定冠詞連用〉海面(狀...
  • basing : 貝辛
  1. So, basing on the chaotic theory we look sea clutter as a chaotic system, reconstruct the phase - space of sea clutter to forecast and eliminate the sea clutter

    由於神經網路可對任意非線性函數進行模擬的特性,用海雜波模型數據對神經網路進行訓練,重建海雜波的狀態預測方程。
  2. This paper studies the spatial distrihution of water vapor press in the mountain areas of chongqing, with the month average data of water vapor press of climatic reorganized data including 34 meteorological observing stations in chongqing and 4 around it from 1971 to 2000 and 7 meteorological sentries in it from 1997 to 1999, and 100mx 100m dem of chongqing. according to the theory of mountain climate and basing on gis, it analysises the influencing factors to water vapor press decreasing coefficients in chongqing, and studies the relations among water vapor press longitude latitude and sea level elevation, and founds the water vapor press spatial distribution model in chongqing, and calculates the spatial distribution of the month average and the year average water vapor press in chongqing, and completes the cartographies of the water vapor press spatial distribution of chongqing

    本文利用重慶地區34個及其周圍4個常規氣象觀測站1971 2000年30年和7個氣象哨1997 1999年3年氣候整編的月平均水汽壓資料,以及重慶地區100m 100mdem數據,對重慶地區山地水汽壓空間分佈進行研究根據山地氣候學原理,利用gis技術,分析重慶地區水汽壓遞減系數的影響因子,研究水汽壓與經度緯度和海拔高度等因子的關系,建立重慶地區水汽壓空間分佈模型,計算重慶市月平均和年平均水汽壓空間分佈,並完成重慶市水汽壓空間分佈的制圖。
  3. Preliminary approach to sea - level change in china basing chinese historical documents

    從史料記載看中國歷史時期海面波動
  4. The study of in - situ stress section construction of an oil well in the south ch ina sea basing on logging data

    南海某油井地應力剖面的測井構建研究
  5. Basing on the characteristics of artificial neural network which can simulate any non - line function we reconstruct the sea clutter condition - equation to forecast and eliminate the sea clutter. this paper we utilize three kinds of artificial neural

    本文用三種神經網路模型進行狀態預測方程的重構(線性神經網路、 bp神經網路、徑向基神經網路) ,通過對比預測誤差,選取性能最優的神經網路完成後期工作。
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