algorithm level 中文意思是什麼
algorithm level
解釋
演算法級-
For the cardioid curve, a fast pixel - level drawing algorithm is presented
摘要給出了快速繪制心臟線的逐點演算法。 -
By agent classifying documents and algorithm category - level structure, the system is able to perform auto - classify. this system creates the pattern of users visiting
該模型通過文檔分類agent調用類層次結構生成演算法，實現對搜索到的內容自動分類的功能。 -
And the characteristics of each algorithm are analyzed theoretically. according to this analysis, a new pixel - level fusion algorithm based on the activity and similarity of source images is proposed and its performance is tested to be superior to the congeneric algorithms
在以上分析的基礎之上，作者提出了一種基於源圖象活躍度和相似度的像素級融合演算法，經過實驗比較證明該演算法的融合結果質量較同類演算法有大幅度的提高。 -
According to the research, the major work done is as following : < 1 > analyzes the symmetric - key encryption algorithm des and dissymmetric - key encryption algorithm rsa, and makes them easy to realize in hardware. < 2 > according to the algorithms and the thought of reconfigurable computing, the dissertation accomplishes the design of 64 - bit des system architecture and the design of 256 - bit ~ 1024 - bit rsa system architecture. < 3 > using the top - down high level design methodology and the hdl language, accomplishes the description of the des / rsa designs, the simulation and the synthesis
本論文主要的研究工作： < 1 >對現有的對稱加密演算法des演算法和非對稱加密演算法rsa演算法進行分析，使其易用硬體實現； < 2 >基於可重構思想和特點，完成64位des演算法和256位1024位模長rsa演算法的可重構硬體的設計； < 3 >採用自頂向下的設計方法，利用hdl語言對des / rsa設計進行功能描述，並完成軟體模擬，綜合和布線； < 4 >在可重構計算驗證平臺上進行演算法驗證，並對設計的可重構和設計的進一步優化進行討論。 -
In this paper, we made an investigation into texture feature extraction and classification based on statistic method and its application in multi - spectral image classification. the research works of this paper have been done as follows : firstly, in order to overcome the weakness of gray level co - occurrence matrix ( glcm ), a new unsupervised texture segment algorithm, based on multi - resolution model, is presented in this thesis
本文主要研究了基於紋理統計特性的特徵提取與分割方法，並將其用於實際的多光譜圖像分類，具體工作如下:第一，針對傳統灰度共現陣方法中特徵提取的尺度單一問題，本文提出了一種多分辨無監督紋理分割演算法。 -
As for feature - level fusion, a new algorithm based on orientation information measurement and his transform is proposed
在特徵級融合方面，提出了一種基於方向性信息測度和ihs變換的圖像融合演算法。 -
To deal with the difference on operating system level, this paper designs a thread - level algorithm based upon priority inheritance protocol to prevent priority inversion. a dynamic priority mapping and scheduling algorithm to achieve strict order is also presented. through analysis of multi - threaded execution order under fixed priority scheduling model, a multithreaded programming model with totally predicable execution order is proposed
針對各種操作系統的差異，本文提出了基於優先級繼承協議的線程級防優先級翻轉演算法，提出了能夠嚴格保序的動態優先級映射方法及相關的調度演算法，通過研究固定優先級調度下的多線程執行順序問題，本文還提出了一種執行順序可預測的多線程程序設計模式。 -
With the widely use of raster display, pixel - level algorithm becomes a research hotspot of basic algorithms of computer graphics now
隨著光柵顯示器的廣泛使用，逐點演算法成為當前圖形學基礎演算法中的一個研究熱點。 -
With the widely use of raster display, pixel - level algorithm becomes a research hotspot of fundamental algorithms of computer graphics now
隨著光柵顯示器的廣泛使用，逐點演算法已成為目前圖形學基礎演算法中的一個研究熱點。 -
Besides the two algorithms given above, we also give a algorithm that is based on simulated annealing algorithm ( saa ), although for the effective of algorithms it is mostly suitable for level track
另外，本文還給出一種基於模擬退火演算法的演算法，但該演算法在很大程度適合於水「平軌道。 -
This paper develops a deterministic inventory model for perishable items with a mixture of back orders and lost sales under inflation and time discounting, where the backlogged demand rate is dependent on the negative inventory level during the stock out period. the main differences from the existing related models are that the present model takes the maximum present value of profit in a repeatable order cycle as the objective function and proposes a more practical constraint of maximum customer - waiting time to ensure a proper customer service level. then the existence and the uniqueness of the solution to relevant systems are examined and a solution algorithm is shown to find the optimal replenishment policy. at last, some numerical examples are presented to illustrate the applicatioh of the model
本文建立了一種考慮通貨膨脹與時間價值的變質性物品的庫存模型，在模型中允許短缺發生且拖后的需求速率與在缺貨期間已經發生的缺貨量有關.和已有相關模型的主要區別在於本模型把一個可重復的訂貨周期內的最大平均利潤的凈現值作為目標函數，且增加了在缺貨期間最長顧客等待時間的限制，以確保庫存系統擁有較高的服務水平.然後討論了模型最優解的存在性與唯一性，並提供了尋求模型整體最優解的演算法.最後用實例說明了此模型在實際中的應用 -
We provide the algorithm of line segmentation under gray level image and character segmentation based on the biggest width backtracking algorithm to get the accurate position of characters
文中提出了灰度圖像下的行分割方法和基於最大寬度回溯演算法的單字分割演算法，從而實現了字元的精確定位。 -
Moreover, when the parameter is chosen in a certain interval, it is proved that the generalized d - gap function g has bounded level sets for the strongly monotone vip. an error bound estimation of the algorithm is obtained, which partially gives an answer to the question raised by yamashita ( 1997 ) et al
更進一步，當廣義d -間隙函數g _ （ ）中的參數取值于某一區間時，證明了函數g _ （ ）對于強單調變分不等式而言，具有有界的水平集，同時，給出了演算法的一個誤差界估計，它部分回答了yamashita等人提出的一個問題。 -
Considering the defects in the practical application of traditional paragraph alignment method based on carriage - return character, this thesis puts forward a segmental alignment algorithm based on the anchor sentence pairs. to combine the merits of two methods above, a multi - level segment alignment method is suggested in this research. the final experiments prove the method is highly efficient and practical
然後本文考慮到基於回車符的方法在實際應用中的缺陷，提出了一種基於錨點句對的分段對齊方法，並根據需要，將上述兩種方法相結合，形成了一種多層次分段對齊方法，進一步提高了句子對齊的運行效率和正確率。 -
A new feature extracting algorithm based gray level co - occurrence matrix
一種新的灰度共現矩陣特徵提取演算法 -
3. as there are up to 106 managed objects on element level of tmn ( telecommunications management network ) in telecommunications network, and the scheme to collect management information affects the performance of network management, a new algorithm - saa ( self - adaptive algorithm ) used for retrieving multi objects information has been put forward in this thesis. saa can adjust the retrieving objects and interval of retrieval self - adaptively by using the schemes of self - adaptivity, fault tolerance, recognition status of object dynamically etc., and thus can use fewer network resources without alteration of snmp ( simple network management protocol ), iiop ( internet inter - operability protocol ) or cmip ( common management information protocol )
針對傳統的定時提取網路管理信息方法的不足，提出了一種提取多管理對象信息的新演算法? ?自適應演算法saa （ self - adaptivealgorithm ） ，該演算法能在不改變管理協議，如iiop （ internetinter - operabilityprotocol ） 、 snmp或cmip （ commonmanagementinformationprotocol ，公共管理信息協議）的情況下，採用自適應策略、容錯策略、動態識別被管對象狀態策略、被管對象存儲空間的動態刷新策略，根據本次訪問被管國防科學技術大學研究生院學位論文對象所得出的網路通信量，自適應地調整下次應該訪問的被管對象和讀取被管劉?象數據的時間間隔，從而可以較少地消耗所用的網路帶寬和cpu資源。 -
In the algorithm level, currently various training algorithms of neural networks, including gradient algorithms, intelligent learning algorithms and hybrid algorithms, are comparatively studied ; the optimization principle of bp algorithm for neural networks training is analyzed in detail, and the reasons for serious disadvantages of bp algorithms are found out, moreover, the optimization principle of two kinds of improved bp algorithms is described in a uniform theoretic framework ; and the global optimization algorithms of neural networks, mainly genetic algorithm are expounded in detail, it follows that a improved genetic algorithm is proposed ; finally the training performances of various algorithms are compared based on a simulation experiment on a benchmark problem of neural network learning, furthermore, a viewpoint that genetic algorithm is subject to " curse of dimension " is proposed
在演算法層，本文對目前用於神經網路訓練的各種演算法，包括梯度演算法、智能學習演算法和混合學習演算法進行了比較研究；對用於神經網路訓練的bp演算法的優化原理進行了詳細的理論分析，找到了bp演算法存在嚴重缺陷的原因，並對其兩類改進演算法-啟發式演算法和二次梯度演算法的優化原理，在統一的框架之下進行了詳盡的理論描述；對神經網路全局優化演算法主要是遺傳演算法進行了詳細的闡述，並在此基礎上，設計了一種性能改進的遺傳演算法；最後基於神經網路學習的benchmark問題對各種演算法在網路訓練中的應用性能進行了模擬研究，並提出了遺傳演算法受困於「維數災難」的觀點。 -
The proposed 64 bits high performance alu is optimized at algorithm level, logic level, circuit level and layout level, and is implemented in 0. 18 m cmos process. furthermore, the testing technique of the alu is discussed. this thesis mainly contributes to the following aspect : 1
文章從部件的演算法、邏輯結構、電路參數、物理版圖等多個層次進行設計優化，在0 . 18 mcmos工藝下實現了一款64位高性能算術邏輯部件，並對該部件的測試方法進行研究。 -
In this paper the reasons for these drawbacks and the methods for overcoming these drawbacks are systemically studied from two levels, algorithm level and computing theory level
本文從演算法層和計算理論層兩個層次對造成這些缺陷的原因和克服這些缺陷的方法進行了系統的研究。 -
The studies indicate that the algorithm level only deals with getting over the former two drawbacks of neural network learning using advanced optimization algorithms in the intrinsic framework of neural network, and great breakthrough is hard to made because of the limit of current optimization theory
這一層次的研究表明，演算法層只是在原有神經網路的框架下利用高性能的優化演算法克服網路學習的前兩個缺陷，由於受目前優化理論的限制，很難有巨大的突破。
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