鄰近結合法 的英文怎麼說
中文拼音 [līnjìnjiēgěfǎ]
鄰近結合法
英文
neighbor-joining-
Abstract : considering the second nearest - neighbor interaction and cubic, quartic anharmonic interactions simultaneously, we employ the multiple scales method combined with a quasidiscreteness approximation to calculate the lattice vibration. it is shown that the kind of nonlinear chain exhibits envelope soliton, envelope kink and envelope antikink soliton. these results can also be used to explain the experimental phenomena that the kink amplitude of the self - localized structure is determined only by the intrinsic properties of its lattices
文摘:同時考慮次近鄰諧振相互作用和三次方、四次方非諧相互作用，利用多重尺度結合準離散近似方法去計算晶格振動行為，發現一維非線性點陣中存在包絡孤子及正扭結型包絡孤子、反扭結型包絡孤子，解釋了自局域結構的幅度只取決于點陣中的固有參數的實驗現象For the habitation multi - scale representation, this paper put forward the second level neighbouring points discriminance to solve the combine with geographic locations and attributions
在對居民地進行的多尺度表達中提出了二級鄰近點判別法，以實現要素的地理位置與屬性的結合。A good many case of approaching excavation are studied in this article, such as the study of infection of be coal mining to the huayingshan tunnel, technology study of strucked tunnels of metro in shenzhen, countermeasure study of tunnel approaching pile foundation of metro in guangzhou, excavation methods optimized of large cross section subaqueous tunnel approaching pile foundation of lrt in chongqing, etc. on the basic of analysing and concluding relative study production all over the the world by the numbers, classification of approaching excavation, partition of approach zone, formula of partition of approaching zone, approach degree and countermeasure grade of generalized approaching excavation of underground works are put forward. general methods studying and trea
本文結合作者多年來對華鎣山隧道減少壓煤量研究、深圳地鐵重疊隧道第11頁西南交通大學博士研究主學位論文技術研究、廣州地鐵公紀區間廣紡聯段鄰樁施工對策研究和重慶輕軌大坪大斷面車站鄰近基礎淺埋暗挖工法優化分析等諸多近接施工問題案例的研究，在系統分析和歸納總結國內外相關研究成果的基礎上，系統地提出了廣義的地下工程近接施工的分類、分區、分區指標表達式、近接度與對策等級概念以及分區、分度準則，給出了研究和解決近接施工問題的普遍方法，如數值分析先行，模型試驗、現場測試驗證等。According to the math model of order picking and the structure of fixed shelf, it builds a circular route applied to engineering application and being easy to program
結合揀選作業的數學模型和固定貨架的物理結構，構造了一種適合工程應用、編程簡單的環狀作業路徑，並將該演算法與最近鄰居法和混合遺傳演算法進行了分析比較。On the basis of a full investigation and study and an integrated analysis of the geological setting and rock - mass mechanical environment of the bank slopes of the hydroelectric project area on the mainstream of the jinsha river and by combining the qualitative analysis with the quantitative evaluation, the authors calculated the instability of the sliding masses according to 1 / 8 and 1 / 11 of the total cubic capacity of the materials falling into the river and the surge wave heights at the falling sites as well as at the xiangjiaba and xiluodu dam sites and in adjacent townships according to the calculation method of the surge wave diagram given by the american society of civil engineers, made the risk evaluation of the bank slope instability with respect to the operation safety at the dam, safety of the cities and townships around the reservoir and safety of the reservoir operation, and put forward precautionary measures for bank slope instability
摘要筆者通過調查研究和綜合分析金沙江幹流水電工程區岸坡地質背景和巖體力學環境條件，定性分析與定量評價相結合，採用與三峽工程庫區岸坡失穩危險性評價相類比的方法，針對崩滑體失穩按總體積的1 / 8和1 / 11入江方量進行了計算和按美國土木工程學會涌浪圖解計演算法計算了入水點及在向家壩壩址、溪洛渡壩址和鄰近城鎮的涌浪高度，並圍繞大壩施工安全、庫區周邊城鎮安全，水庫運營安全等方面對岸坡失穩的危險性進行了評價預測，提出了岸坡失穩的防治對策。The classifier with ability of feature selection is studied to prepare for face cascade representation and to make it possible to detect and recognize face fast and accurately. finally, construction of an array of classifiers is researched, and an effective method to design classifiers of fast face detection and recognition with complex background is presented, which is able to radically discard redundant areas and realize a robust real - time face detection designed for complex background and recognition system with large face database. finally, a fast face detection and recognition system for images with complex background is proposed and implemented by combining face cascade representation and classifier design
首先研究了在人臉檢測和識別中常用的分類器，比如符號函數、最近鄰、神經網路、 svm 、 adaboost等，選擇了適合於人臉檢測和識別的分類器，並提出了結合pca特徵和rbf進行人臉姿態的判別方法：其次研究了具有特徵選擇功能的分類器發計，這為人臉的級聯表示提供了條什，也為快速準確的人臉檢測和識別提供了可能；最後，對組合分類器設計進行了研究，提出了適于復雜背景下快速人臉檢測和識別的有效分類器設計方案，這使得人臉檢測和識別能夠快速剔除不感興趣區域，為復雜背景下實時人臉檢測和大型人臉庫的快速識別提供了可能。Second, the mode fields of a strip waveguide and some slab waveguides have been simulated by applying finite - difference time - domain ( fdtd ) method. the curvature radius ; vicinity coupling ; transition loss and power attenuation of a s - shape bend waveguide have been analysed numerically by employing wide angle finite - difference beam propagation method ( fd - bpm ), as well as the coupling loss of optical fiber and waveguide. in addition, the framework of the s - shape waveguide laser has been
其次，應用時域有限差分法，結合波導模式理論對條形與平面波導進行了模場模擬;應用廣角有限差分光束傳播法，對s形彎曲波導的曲率半徑、鄰近耦合、過渡損耗、功率衰減以及波導與光纖的各種耦合損耗進行了數值分析，並在此基礎上，對s形波導激光器的結構作了初步設計。The algorithm, which uses the distance relation of the nodes in the traffic network, can search information of trips, between given od points and trips which intersect groups of respective adjacent points of od points, and can analyze, evaluate, and filter these information in the light of characteristic of carpool path so that the carpool formation is convenient for ride matching
該演算法利用交通路網中各結點間的距離關系，可以檢索給定起迄點間及起迄點各自鄰近結點群之間存在的出行信息，並能根據合乘出行路徑特點對檢索出的信息進行分析、評價和優選，以方便出行者進行合乘組織。The results are compared with the genetic algorithm in combination with the k - nearest neighbor ( knn ) classification rule
最後，將比較的結果再與基因演演算法結合k個最近鄰法進行比較。This recognition method integrates traits of nearest neighbor method and k - neighbor method. its basic principle is to improve recognition reliability with tow additive thresholds. in addition, ternary threshold neighbor recognition method ’ s fast arithmetic based on c - average clustering and huffman tree is put forward
2 .本文在經典統計模式識別方法的基礎上，結合了最近鄰識別法和k近鄰識別法的特點，給出一種三閾值近鄰識別方法，其基本原則是在尋找未知樣本的近鄰時，通過附加閾值的限制，進一步提高識別的可靠性。A method based on fuzzy equivalence relation is applied to implement target classification and a synthetic algorithm is presented to fulfill multi - layer structure among groups by using the nearest - neighbor method and field knowledge
應用基於模糊等價關系的方法實現目標編群，並提出一種基於域知識和最近鄰法相結合的演算法來實現群結構遞增形成的策略。The fourth - order explicit upwind - biased compact difference schemes are used in the spatial discretization of the nonlinear convection terms. these difference schemes can be used in all computational region including the boundary neighborhood, and can overcome the difficulty not adapting simultaneously in the boundary neighborhood for general three - dimensional fourth - order central difference schemes, and improve computational stability a nd resolution. the compact difference equations with high accuracy and resolution for solving the incompressible n - s equations and perturbation equations are composed of these compact difference schemes, and provides an effective numerical method for the investigations of the turbulent spots and coherent structures
文中發展了四階時間分裂法用於navier - stokes方程及其擾動方程的時間離散；對分裂得出的關于壓力的poisson方程和關于速度的helmholtz方程，建立三維耦合四階緊致迎風差分格式；這些格式適用於包括鄰近邊界點在內的計算區域，克服了三維各自用四階中心差分格式離散不適用於邊界鄰域的困難，並提高了穩定性和解析度，用這些格式分別組成了數值求解navier - stokes方程及其擾動方程的高精度、高解析度的緊致差分方程組，為湍斑及湍流相干結構的研究提供了有效的數值方法。In section 4. 2 we analyze its main idea and algorithm in detail, two relevant theorems included ; section 4. 3 provides plenty instances so to explain its nonlinear dimension reduction ability, section 4. 4 propose a combined method that integrates the advantage of various methods. in section 4. 5 we analyze some significant problems in lle, including the locality of manifold representation, the choice of the neighborhood, the intrinsic dimension estimation and the parametric representation of mapping. in section 4. 6 we design an algorithm for estimating the intrinsic dimension in the base of locally linear approximation and discuss the choice of its parameters
第四章是本文的重點內容，研究一種全新的非線性降維方法? ?局部線性嵌入方法，對它的思想和演算法進行了詳細的分析，給出演算法兩個相關定理的證明；第三節對比主成分分析，通過實例說明局部線性嵌入方法的非線性降維特徵；第四節在此基礎上提出了旨在結合兩者優勢的組合降維方法；第五節提出了局部線性嵌入方法中存在的若干關鍵性問題，包括流形的局部性、鄰點的選擇、本徵維數的估計和降維映射的表示，第六節基於局部線性近似的思想提出了一種本徵維數的估計方法，設計了實用演算法，結合實例對演算法中參數的選取進行了討論；最後一節提出了一種基於局部線性重構的圖形分類和識別方法，將其應用於手寫體數字的圖像分類識別實驗，實驗得到的分類準確率達96 . 67 。By using the least square method and the weighted function method of nonparametric estimation together, this paper defines the wavelet estimators of and g ( ? ). but the weighted function here is not in the common weighted functions, which include kernal weighted function and nearest neighbor weighted function. however, it is a kind of weighted function deduced by wavelet method, so we call it wavelet weighted function here
本文採用了半參數估計常用的辦法之一? ?最小二乘法結合非參數權函數估計法定義了參數分量和非參數分量的估計，這里的權函數不是通常所採用的核權函數或近鄰權函數，而是由小波方法所得到的權函數，我們稱它為小波權函數。For all doping concentrations, the coupling between cr and the nearest neighbor n is found to be antiferromagnetic, and the cr 3d states hybridize strongly with n 2p states, which are in agreement with the band calculations
對于不同的摻雜濃度， cr原子與最近鄰n原子之間均為反鐵磁偶合， cr原子的3d電子與n原子的2p電子之間有很強的雜化，這和晶體的能帶計算方法得到的結果一致。The optimized feature set feeds a 3 - class classification module, which is based on the traditional binary svm classifier. and the proposed linear programming svm reduces the burden of the svm classifier and improves its learning speed and classification accuracy. a new algorithm that combined svm with k nearest neighbor ( knn ) is presented and it comes into being a new classifier, which can not only improve the accuracy compared to sole svm, but also better solve the problem of selecting the parameter of kernel function for svm
在研究了數據挖掘、支持向量機及其有關技術的基礎上，建立了實現三類水中目標識別的svm方法；採用線性規劃svm解決了傳統二次規劃svm在海量樣本情況下導致的時間和空間復雜度問題；提出了將最近鄰分類與支持向量機分類相結合的svm - knn分類器應用於水中目標識別的思想，較好地解決了應用支持向量機分類時核函數參數的選擇問題，取得了更高的分類準確率。分享友人