Study and implementation on three dimension data reconstruction based on surface model 基于表面模型的三維數(shù)據(jù)重建方法的研究與實(shí)現(xiàn)
The scanning converter comprises five parts : video signal decoding , data reconstruction , progressive video signal encoding , control signal producing and communication 掃描轉(zhuǎn)換器包含了電視信號的解碼、解碼后數(shù)據(jù)的重構(gòu)、逐行信號編碼、控制信號的產(chǎn)生以及通信五部分。
To support decision - making in enterprise , a cube data reconstruction model is presented to put the heterogeneous data from different sources in order 摘要為了使企業(yè)決策支持?jǐn)?shù)據(jù)能有效地發(fā)揮決策支持作用,提出以零部件為核心,將企業(yè)散亂的數(shù)據(jù)有機(jī)地組織起來,形成企業(yè)立體數(shù)據(jù)的重構(gòu)模型。
In this paper , a missing data rotative reconstruction algorithms based on rough theory is proposed , and the complexity of the algorithms is analyzed , finally a missing data reconstruction experiment with a typical dataset is conducted 摘要提出了一種基于粗糙集理論的缺失數(shù)據(jù)循環(huán)搜索重建算法,分析了算法的復(fù)雜性,并選擇一個(gè)典型數(shù)據(jù)集進(jìn)行了缺失數(shù)據(jù)重建的實(shí)驗(yàn)。
The elman artificial neural network predictor is adopted to reconstruct fault data . because the space redundancy information between sensors is fused , better reconstruction result is achieved . with the performance of higher precision and speed , the two methods can be used in real time for data reconstruction 本文研究了傳感器故障數(shù)據(jù)的重構(gòu)方法,利用pca主元分析法進(jìn)行的數(shù)據(jù)重構(gòu)取得了很好的效果;利用elman神經(jīng)網(wǎng)絡(luò)預(yù)測器進(jìn)行的數(shù)據(jù)重構(gòu),由于融合了各傳感器的空間信息獲得很好的重構(gòu)效果。