eliminate the bad effect 中文意思是什麼
eliminate the bad effect
解釋
消除影響-
Article 30 where any of the circumstances as provided for in article 3 ( 1 ) and ( 2 ) and article 15 ( 1 ), ( 2 ) and ( 3 ) of this law, is confirmed according to law and causes infringement upon the rights of reputation and honor of the aggrieved person, the organ compensatory obligations shall eliminate the bad effect, rehabilitate the reputation of and make an apology to the aggrieved person to the extent of the infringing acts affected
第三十條賠償義務機關對依法確認有本法第三條第（一） 、 （二）項、第十五條第（一） 、 （二） 、 （三）項情形之一，並造成受害人名譽權、榮譽權損害的，應當在侵權行為影響的范圍內，為受害人消除影響，恢復名譽，賠禮道歉。 -
The system increase the precision of frequency measurement using frequency measurement method based on least error square algorithm and using digital pre - treatment algorithm, which can eliminate the bad effect resulted from sqaure and high power harmonic
本系統採用了基於最小二乘的頻率測量方法，同時用數字預處理演算法消除頻率測量時的二次及高次諧波對測量的影響，提高了頻率測量的精度。 -
Later on, after elaborating the disadvantages of the old methods in detecting and recognizing moving objects, a series of corresponding approaches are proposed, such as grid scan, local tracking bug and dynamic window in object tracing to reduce the huge data needed to be processed, maximum and minimum for selecting a proper segmentation threshold and improved conversion from rgb model to hsv and so on to decrease the influence of inhomogeneous lighting and the color noise, a bilinear interpolation in each quadrant to eliminate the bad effect on the recognition precise because of the distortions of the camera. after that, much emphasis is given on application study in pattern recognition with a feed - forward neural network. both the basic bp algorithm and improved bp algorithm in the study process are described in detail, and the later is used to quicken convergence speed and improve validity of the network
然後，分析和闡明了傳統的運動目標檢測方法的不足，並在此基礎上結合研究中的實際實驗環境，提出了一系列解決方法，包括針對降低龐大數據量而提出的網格掃描、局部「跟蟲」追蹤和動態窗口掃描等目標檢測方法，針對實驗環境中光照不均和顏色干擾提出基於人機交互的最大最小值閾值選取方法和引入改進的rgb模型到hsv模型的轉換方法，為消除圖像畸變對識別精度的惡劣影響而採用的通過控制點進行雙線性插值進行畸變校正的方法；緊接著，概述了神經網路的發展歷史和幾種常用神經網路模型的特點，重點研究了前饋型神經網路在模式識別中的應用問題，詳細闡述了基本的bp演算法和學習過程中bp演算法的改進，從而使網路收斂速度更快，解決問題更有效，並在此基礎上，設計了一個基於bp神經網路的運動目標識別系統，給出了實驗結果。
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