vector algorithm造句
例句與造句
- new multi-class support vector algorithm and its application in fault diagnosis
一種新型多分類支持向量算法及其在故障診斷中的應(yīng)用 - the mathematical model of attitude solving algorithm on high dynamic aircraft was established, and the method which used rotation vector algorithm to solve attitude angle was discussed, and the method was compared with quaternion
摘要建立了高動態(tài)飛行器姿態(tài)解算的數(shù)學模型，探討了利用等效旋轉(zhuǎn)矢量法解算姿態(tài)角的方法，并與四元數(shù)法進行了比較。 - then as to the disadvantage of the tss native algorithms we bring for word a new algorithms which is bit vector algorithms base on rule length and the result of program show the performance of new algorithms is better than the native one
然后本文針對tss原始算法設(shè)計的缺陷，提出了基于規(guī)則長度的比特向量算法，仿真結(jié)果顯示該算法的性能優(yōu)于tss的原始算法。 - introduce the traditional two samples rotation vector algorithm and three samples rotation vector algorithm, which fit the incremental angular condition . but, the output of fiber optic gyro is angular rate of the vehicle, the error would increase serious if use traditional algorithm
由于光纖陀螺儀輸出為角速率信號,而傳統(tǒng)的旋轉(zhuǎn)矢量算法輸出為角增量信號,采用角增量提取算法,旋轉(zhuǎn)矢量精度會大幅大降。 - introduce the traditional two samples rotation vector algorithm and three samples rotation vector algorithm, which fit the incremental angular condition . but, the output of fiber optic gyro is angular rate of the vehicle, the error would increase serious if use traditional algorithm
由于光纖陀螺儀輸出為角速率信號,而傳統(tǒng)的旋轉(zhuǎn)矢量算法輸出為角增量信號,采用角增量提取算法,旋轉(zhuǎn)矢量精度會大幅大降。 - It's difficult to find vector algorithm in a sentence. 用vector algorithm造句挺難的
- reference to mpeg-7 standards, mainly researches feature extracting schemes of video visual information . it includes histogram refinement in rgb color space, histogram in hsv color space, color coherence vectors algorithm and homogeneous texture descriptor extraction algorithm
論文中主要研究的視覺特征提取方法有：rgb顏色空間的改進直方圖法、hsv顏色空間的直方圖統(tǒng)計、顏色相關(guān)向量法和提取同類紋理描述符算法。 - 3 . to meet the real-time demand in the robot soccer competition, this thesis proposed a color image segmentation method using improved threshold vector algorithm in yuv color space . the new algorithm can classify 8 colors in one time, so the speed of the algorithm is improved a lot
針對足球機器人系統(tǒng)中對視覺系統(tǒng)實時性方面的具體要求，提出了一種改進了閾值向量彩色圖像分割方法，對于一個未知顏色的像素點，一次計算就能夠判斷其顏色，并將其進行分類。 - this dissertation develops research work for some fields in which ground clutter suppression algorithm may be used for airborne phased-array radar, software design of 3dt-- stap algorithm with adaptive space-frequence steer vector algorithm is completed for clutter suppression realtime processing system based on tigersharc ts101 chip
本論文圍繞機載相控陣雷達的空時二維處理技術(shù)展開研究工作,主要任務(wù)是為系統(tǒng)選擇地雜波抑制的算法,并完成以浮點dsp芯片(ts101)為核心的基于3dt - secondly, the improved rotation vector algorithms in the pure coning motion are discussed and the computing burden is compared with each other . lastly, computer simulations are executed to test the algorithms " performance . the results show that the rotation vector algorithms can improve the precision of the attitude calculation effectively
分析了高動態(tài)環(huán)境下捷聯(lián)慣導(dǎo)圓錐誤差的產(chǎn)生機理，研究了純錐運動條件下姿態(tài)更新的旋轉(zhuǎn)矢量優(yōu)化算法，對各算法的計算量和精度進行了對比，最后對各算法進行了計算機仿真，仿真結(jié)果表明：旋轉(zhuǎn)矢量算法能有效提高姿態(tài)算法的精度；2 - secondly, the improved rotation vector algorithms in the pure coning motion are discussed and the computing burden is compared with each other . lastly, computer simulations are executed to test the algorithms " performance . the results show that the rotation vector algorithms can improve the precision of the attitude calculation effectively
分析了高動態(tài)環(huán)境下捷聯(lián)慣導(dǎo)圓錐誤差的產(chǎn)生機理，研究了純錐運動條件下姿態(tài)更新的旋轉(zhuǎn)矢量優(yōu)化算法，對各算法的計算量和精度進行了對比，最后對各算法進行了計算機仿真，仿真結(jié)果表明：旋轉(zhuǎn)矢量算法能有效提高姿態(tài)算法的精度；2 - (2 ) the influence to classification result is highly effected by using different classifier, for example, the center-vector algorithm obtains better classification results than other two algorithms . with the character feature, the average recall is 80.73 %, and the average precision is 82.94 %, and with the chinese-word feature, the average recall is 83.6 %, and the average precision is 85.97 % . different corpuses influence the classification result . for example, the average recall is 89.31 % and the average precision is 88.33 %, by using the news web pages as corpus from the web site " www . sina . com . cn ", which adopt the center-vector algorithm to structure classifier and select chinese-word as feature
對三種分類器分別以字、詞為特征進行分類測試、分析發(fā)現(xiàn)：使用相同的分類算法，用詞作為特征項，比以字作為特征的分類效果好；用不同的算法構(gòu)造分類器對分類效果的影響很大，如中心向量算法在字、詞特征下的分類效果優(yōu)于其他兩算法；在以字為特征的情況下，該算法的平均查全率80.73，平均查準率82.94；在以詞為特征的情況下，該算法的平均查全率83.6，平均查準率85.97；選用語料不同對分類效果也有影響，如用新浪網(wǎng)(www.sina.com.cn)網(wǎng)頁語料進行測試，使用中心向量法分類器和詞作為特征的情況下，平均準確率為89.31，平均查全率為88.33。 - (2 ) the influence to classification result is highly effected by using different classifier, for example, the center-vector algorithm obtains better classification results than other two algorithms . with the character feature, the average recall is 80.73 %, and the average precision is 82.94 %, and with the chinese-word feature, the average recall is 83.6 %, and the average precision is 85.97 % . different corpuses influence the classification result . for example, the average recall is 89.31 % and the average precision is 88.33 %, by using the news web pages as corpus from the web site " www . sina . com . cn ", which adopt the center-vector algorithm to structure classifier and select chinese-word as feature
對三種分類器分別以字、詞為特征進行分類測試、分析發(fā)現(xiàn)：使用相同的分類算法，用詞作為特征項，比以字作為特征的分類效果好；用不同的算法構(gòu)造分類器對分類效果的影響很大，如中心向量算法在字、詞特征下的分類效果優(yōu)于其他兩算法；在以字為特征的情況下，該算法的平均查全率80.73，平均查準率82.94；在以詞為特征的情況下，該算法的平均查全率83.6，平均查準率85.97；選用語料不同對分類效果也有影響，如用新浪網(wǎng)(www.sina.com.cn)網(wǎng)頁語料進行測試，使用中心向量法分類器和詞作為特征的情況下，平均準確率為89.31，平均查全率為88.33。 - based on these descriptions, a nd model called support vector data description ( svdd ) is founded . ( 2 ) a qualitative guide for setting those parameters in oc-svms is investigated . a multi-layer high-speed training strategy was proposed to enable support vector algorithm to handle large training data
(2)通過分析支持向量機中模型參數(shù)對檢測結(jié)果的影響,給出了確定這些參數(shù)的一般方法;提出了一種分層式的快速訓練方法,克服了樣本個數(shù)和維數(shù)對支持向量算法應(yīng)用的制約,提高了訓練效率。 - first, the theories of the music algorithm and the esprit are presented here . conventional algorithms are limited by the array configuration, and a constructing vectors algorithm, which uses the correlative function of array data, is proposed in this paper . this algorithm is n't restricted within the special array configuration, and it is also very steady
在介紹了多重信號分類(music)算法和旋轉(zhuǎn)不變技術(shù)(esprit)的基本原理后,考慮到常規(guī)的算法都受到陣列形式的限制,本文在esprit算法的基礎(chǔ)上,提出了一種利用陣元數(shù)據(jù)的相關(guān)函數(shù)構(gòu)造向量的算法,該算法不要求特定陣列結(jié)構(gòu),且有一定的穩(wěn)健性。 - in this paper, we begin with the analysis of wavelet transform . after the analysis of image wavelet coefficients and methods of image compression, a method of vector-constitution among different subbands, making verctor book using pcc + lbg, and fast vq is presented . at the same time a better compression performance is improved by using multistage vector algorithm, the design of this algorithm based on dsps is given at the end of this paper
該算法充分利用了小波分解后各子帶間的相關(guān)性，跨子帶構(gòu)造高維數(shù)矢量，利用改進的漸進構(gòu)造聚類(pcc)結(jié)合lbg的算法生成了具有代表性的最優(yōu)碼書，并提取特征矢量快速實現(xiàn)矢量量化，最后通過二級量化進一步降低矢量量化的復(fù)雜度。
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