您要查找的是不是:
- The quality of seismic data varies tremendously. 地震資料的質(zhì)量變化巨大。
- High fidelity virbroseis seismic data acquisition. 可控震源高保真地震數據采集方法。
- Finally,the intending research direction of data preprocessing was summarized. 最后總結了數據預處理未來(lái)的研究方向。
- What causes distortions on prestack reflection seismic data? 導致疊前反射地震資料畸變的原因?
- EMERGE is a program that analyzes well log and seismic data. EMERGE是一個(gè)分析測井曲線(xiàn)和地震資料的程序.
- Application of OpenGL technique to seismic data visualization. OpenGL技術(shù)在地震數據可視化中的應用
- Some Viewes About Real-Time Recording Seismic Data with CD-R Disc. 用光盤(pán)現場(chǎng)記錄地震數據的一點(diǎn)想法
- Hcp iron, however, gives a better fit with the seismic data. 然而Hcp鐵,較好的跟地震數據情況吻合。
- Data preprocessing is the key to provide high quality data for exam analysis system. 摘要數據預處理是為考試分析系統提供高質(zhì)量數據的關(guān)鍵。
- Then,after data preprocessing,multiform information of metrical distance is proposed. 然后在 對原始數據進(jìn)行初步處理的基礎上,給出了多種距離信息表示 形式;
- This is the manipulation or processing of the received seismic data. 這就是對所接收的地震資料進(jìn)行加工或處理。
- The image data preprocessing of remote sensing satellite includes data catalogue, archive management, browse and query, product generation, etc. 遙感衛星圖像數據的預處理包括數據編目、檔管理、覽查詢(xún)和產(chǎn)品生產(chǎn)等部分。
- The novel commercial data mining system presented in this paper include three parts: data preparation, data preprocessing, mining and evaluation. 本文提出的商業(yè)數據挖掘系統包括數據準備層、數據預處理層、挖掘評價(jià)層三個(gè)層次。
- Time-frequency analysis and frequency-divisional processing of seismic data. 地震數據時(shí)頻分析與分頻處理。
- Finding a proper mining granularity is a crucial task, which should be finished in the log data preprocess. 摘要在日志數據的預處理中,確定合適的挖掘粒度是一項重要任務(wù)。
- Knowledge and thought in studying SEG seismic data polarity standard. 學(xué)習SEG地震數據極性標準的認識和思考
- ARAM-ARIES is a new nel-link telemetry seismic data acquisition system. ARAM ARIES是一套全新的網(wǎng)絡(luò )化的遙測數據地震儀。
- Brief in ARAM-ARIES net-link telemetry seismic data acquisition system. ARAM ARIES有線(xiàn)網(wǎng)絡(luò )遙測地震數據采集系統簡(jiǎn)介
- Using a relatively common algorithm CRD method as its basis, the kit can be divided into three main models which are data preprocessing, data mining and data evaluation. 工具集以一定程度上通用的CRD方法為基本采掘算法 ,分為數據預處理、數據采掘和數據評價(jià)三大主要模塊。
- The experiment results showed that the best performance integrated data preprocess and SVM to forecast futures can provide to investors. 結果顯示,利用資料前處理與支援向量機有最佳的表現,可提供使用者在投資期貨時(shí)參考。