smoothing of series 中文意思是什麼
smoothing of series
解釋
序列修勻-
It simulates human ' s behavior in the process of conventional experiential quotation, and quantifies the useful information of a new die part and a series of correlative die samples accumulated in the foregone quotation experience by fuzzy membership, and then compares the similarity between the new part and the samples after computing their fuzzy level of approximation to find three of the most similar samples, based on which the producing cost of the new part is estimated by exponential - smoothing - method
本文提出的模糊相似比較法和工時法相結合的模具報價方法，就是模擬傳統的經驗報價中人的報價行為過程，利用模糊理論中的模糊隸屬度來量化新工件與原有的在以往生產實際中積累的一系列相關模具樣本的有用信息，計算它們之間的模糊貼近度，進行相似度比較，找出與新工件最相似的三個模具樣本，在此基礎上利用預測技術中的指數平滑法估算出新工件的生產成本。 -
Applications of time series smoothing method in the prediction of product output
時間序列平滑法在產品產量預測中的應用 -
All kinds of the methods are proposed to estimate the nonparametric regression function, such as the kernel method, the local polynomial estimators, the smoothing spline, the series estimators ( b - spline estimator. fourier series estimator, wavelet series estimator )
對于非參數回歸人們提出了許多估計方法，如核估計，局部多項式估計，光滑樣條估計，級數估計（傅里葉級數估計，小波級數估計）等。 -
3 ) this paper realizes three other filter methods and analyses their different results. 4 ) this paper proposes two improved methods base on analyzing the series of laplacian filter. the improved methods keep shape or feature while smoothing the mesh
4 ）在分析和比較的基礎上，針對laplacian方法容易丟失特徵和體積收縮大的缺點，提出了laplacian方法的兩種改進演算法，改進后的演算法在濾波除噪的同時，較好地保持了模型特徵，減少了體積收縮。 -
In this paper, the part of apis based on minutia features includes mainly computing orientation, filtering, binarization, thinning, feature extraction, postprocessing and minutia matching ; the part of apis based on statistical features is composed of reference point location, extracting feature, classification and matching. some new approaches are brought forward : 1 ) in the preprocessing, a new binarization method of fingerprint images based on the orientation and the dynamic threshold is proposed, which has the excellent capability of noise resistance. this method makes fully use of the orientation and the characteristics of grayscale change, gets the binarized images from the primitive fingerprint images directly, instead of the series of processing such as smoothing, enhancement and binarization
本論文對這兩種系統做了深入地研究，從基於細節點特徵的系統中求取指紋方向圖? ?濾波? ?二值化? ?細化? ?特徵提取? ?后處理，到基於統計性特徵的系統中選取指紋圖像參考點? ?提取統計性特徵? ?分類? ?匹配等環節，都一一進行了討論，並提出了一些新方法： 1 ）在基於細節點特徵系統的預處理部分，本論文提出一種新的基於方向圖具有動態閾值的指紋圖像二值化方法，這種演算法能夠在保持特徵點不丟失的基礎上一次性完成一般指紋圖像處理中的無效塊分割、增強、濾波、二值化的過程。
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