star algorithm 中文意思是什麼
star algorithm
解釋
星演算法-
Based on some traditional algorithms, this thesis provides a weighted star cluster algorithm to learn user profile
對已有演算法進行改進，提出了一種加權的星型聚類演算法以學習用戶的興趣特徵。 -
Two kinds of interpolation algorithms are analyzed and concluded that the centroiding algorithm is better for star spot position estimation. the noise effects on the centroding are analyzed by numeric simulation, educes the noise rms model
利用誤差統計理論，採用數值模擬的方法，分析了各種噪聲對矩心法質心計算精度的影響，推導整理了噪聲誤差模型。 -
The deadlock - free behavioral routing algorithm on star graph
星形圖上無死鎖的路徑演算法 -
Methods of estimating baud rate, signal to noise ratio ( snr ) and reference phase are investigated. a modified euclidean algorithm is proposed to estimate baud rate of the burst packets. a cumulant based algorithm of estimating snr of star - qam is proposed which has better estimation performance in medium scope of snr
研究了自適應調制中波特率，信噪比和載波相位等參數的估計演算法；提出一種基於修改的歐幾里得演算法的波特率估計演算法，這種演算法可以對突發分組的波特率做出準確估計；提出一種星型qam信號的信噪比估計演算法，在中等信噪比條件下，具有較好估計性能。 -
Improved star map identification algorithm based on hausdorff distance
距離的改進星圖識別方法 -
Research on autonomous star identification algorithm based on neural network
基於神經網路的自動星圖識別演算法 -
Improved all - sky autonomous triangle star - field identification algorithm
一種改進的全天自主三角形星圖識別演算法 -
Designed semi - physical simulations emphasized on attitude determination algorithm based on star sensor combined with gyroscope, bang - off - bang time - optimal jet control algorithm, and quaternion feedback control algorithm using flywheel
重點針對星敏感器和速率陀螺聯合定姿演算法、噴氣bang - off - bang時間最優控制律演算法、反作用飛輪四元數反饋穩態控制律演算法分別設計了半物理模擬實驗。 -
Based on extended kalman filter ( ekf ) algorithm, an traditional attitude determination scheme using star sensors and gyros was studied, and proved not able to achieve the required precision. so a new idea called instrument - in - loop was presented what using the attitude information contained in the payload ' s data for the control loop. the simulation proved that the instrument - in - loop method can greatly improve the precision of attitude determination with low cost
建立了svom衛星各種姿態敏感器的測量模型，研究了基於推廣卡爾曼濾波演算法的「星敏感器+光纖陀螺」定姿方案，指出了其無法滿足svom衛星的定姿精度要求，並提出了instrument - in - loop的思想，即利用衛星有效載荷測量數據中蘊含的高精度姿態信息來濾波定姿，從而在避免使用昂貴的星敏感器的同時大大提高了系統的定姿精度。 -
Generally speaking, there are two approaches to environment modeling : geometrical modeling method and topological modeling method. having valued the advantages and disadvantages, this paper adopts the topological modeling method, and then plans a static collision - free path for every robot by using the heuristic a star algorithm
在分析和總結以往機器人環境建模方法的基礎上，本文基於拓撲法對環境進行建模，並給出用a *演算法搜索出的機器人靜態無碰路徑。 -
Optimal one - to - many parallel routing algorithm in n - star networks
網路中最優的點到多點平行路由演算法 -
This dissertation proposes the c - dma ( center - distributed mining association rules ) algorithm in star structure, and a method of mining multiple layers association rules in distributed databases, a method of mining multiple layers association rules using meta - learning and adjustable method in distributed databases, based on analyses and introduction of the basic concepts and algorithms of mining association rules and mining association rules in distributed databases. after analyzing the quantitative association rules and interestingness of association rules which are encountered often in distributed association rule mining, the dissertation proposes the methods of changing the quantitative attributions into bool attributions using fcm and gene algorithm
本文在分析和介紹了關聯規則挖掘的基本概念和方法以及分散式關聯規則挖掘方法和技術基礎上，提出了中心結點結構的分散式關聯規則挖掘的演算法（ c - dma ） ，分散式多層概念的關聯規則挖掘演算法，以及分散式元學習可變精度關聯規則的挖掘演算法；並且，在分析和研究了分散式關聯規則挖掘中常見的數量型關聯規則、關聯規則的興趣度問題的基礎上提出了數量關聯規則的聚類劃分方法以及興趣度過濾方法。 -
The thesis is a research work based - on star sensor about star identification algorithm, construct of guide star database, attitude calculation method
本文研究基於星敏感器的星識別演算法、導航星庫的構造方法和姿態計算方法。 -
Study on pseudolite - augmented quot; bei dou quot; double - star positioning system and algorithm
偽衛星增強的北斗雙星定位系統及其演算法的研究 -
In chapter 5, the author introduces the designing way and frame of apmp data warehouse, and establishes a multi - dimension snowflake - star model, which analyzes the relation between business date and these dimensions. a decision tree by using for id3 algorithm has been established, which evaluates the customer ' s credit
在第五章中，介紹了汽摩配商務平臺數據倉庫的設計思路和總體結構，並建立基於數據挖掘的汽摩配行業商務平臺的研究與實現了一個雪花型一星形模型的多維數據集，用於分析交易數據與各維度之間的關系。 -
The volume of the navigation star database is large when star map recognition is carried out by kmp algorithm
摘要用kmp演算法進行星圖識別時，制定的導航星庫容量大。 -
The simulation results show that the algorithm not only inherits the advantages of the original algorithm, but also both volume of the navigation star database and recognition time are equivalent to 1 / 4 that of the original algorithm
模擬結果表明本演算法不但繼承了原演算法的優點，而且導航星庫的容量和識別時間都是原演算法的1 / 4 。 -
This algorithm effectively overcomes the contradictions of traditional algorithm among recognition success rate, recognition time and storage capacity. and this algorithm has been improved notably in aspects of database capacity and real - time, comparing with traditional star pattern recognition algorithm
它有效地解決了傳統演算法在識別成功率、識別時間與存儲量之間的矛盾，並且在數據庫容量、實時性等方面較傳統星圖識別演算法有顯著改善。 -
Fully autonomous layered star identification algorithm, which divides the detected stars to lbs and lds, gives priority to lbs in making star triangle and identification, so can find the matching star quickly. it takes the maximum matching reliability and expanding index at the edge of na to reduce the influence of position error, magnitude error and fake star, so have high identification correct rate. it can be used for full and local sky star identification
全天自主分層星識別演算法，採用分層的方法，以局域亮星為主構造和識別觀測星三角形，減少了待識別的觀測星三角形數量，具有較高的識別速度；採用最大匹配可信度和索引的邊緣擴充方法，可以在一定程度上解決位置誤差、星等誤差和偽星干擾等問題，具有較高的識別準確率；既可以進行全天自主星識別，又可以進行局部星識別。 -
In the field of the organization and expression of learning content, the teaching pattern, instructional strategy as well as design are introduced in this thesis. hence, by combining " student - oriented " with " instructor - oriented ", the mixture - teaching pattern and the hierarchy analysis method to decompose the learning goal are determined in the modern < wp = 7 > distance education. in order to construct the concept mapping, a star algorithm is given
為解決學習內容的組織和表示，本文剖析了教育學中的教學模式、教學組織策略和設計方法，確立了在現代遠程教育系統中採取以學生為中心結合以教師為中心的多元化教學模式，確定了層級分析法作為分解學習目標的方法，提出了構造概念之間的映射關系的星形圖演算法。
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