最近鄰分析法 的英文怎麼說
中文拼音 [zuìjìnlīnfēnxīfǎ]
最近鄰分析法
英文
nearest neighbor analysis- 最 : 副詞(表示某種屬性超過所有同類的人或事物) most; best; worst; first; very; least; above all; -est
- 近 : Ⅰ形容詞1 (空間或時間距離短) near; close 2 (接近) approaching; approximately; close to 3 (親...
- 分 : 分Ⅰ名詞1. (成分) component 2. (職責和權利的限度) what is within one's duty or rights Ⅱ同 「份」Ⅲ動詞[書面語] (料想) judge
- 析 : Ⅰ動詞1. (分開; 散開) divide; separate 2. (分析) analyse; dissect; resolve Ⅱ名詞(姓氏) a surname
- 法 : Ⅰ名詞1 (由國家制定或認可的行為規則的總稱) law 2 (方法; 方式) way; method; mode; means 3 (標...
- 近鄰 : near neighbour; neighbour; close neighbour
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The thesis presents a expert system for identifies power quality disturbance signal, after compare the artificial neural network, nearest neighbors, fuzzy decision, and expert system. we bring forward the project flexible rule - based expert system, according to the characteristic inspection and measure system, and has a deep research on the problem of this system. this project for disturbance classifies has lower mistake ratio and facility maintenance
採用專家系統的方法進行模式識別,在對神經網路、最近鄰法、模糊邏輯和專家系統及一些交叉方法等模式識別方法進行比較分析的基礎上,根據電能質量信號故障分析的特點,提出了採用規則基專家系統的方法,該模式識別方法具有便於擴展、修改和識別率高等特點。As an important component of the above researches, this paper covers following aspects : ? firstly, product design theories are summarized, status and development trend of machinery product design are analyzed, and application of knowledge based design method in machinery product design is put forward. ? kbe ( knowledge based engineering ) theories such as knowledge acquisition, representation and storage are discussed, kbe concept is integrated with ug secondary development technology, and design knowledge is induced and stored to establish the design knowledge base. ? product case representation is researched, a hierarchical tree type product case library for complex products is established, retrieve strategy for cases of the nearest filed is put forward and corresponding algorithm is given
本文的主要研究內容及成果如下: ?對產品設計理論和方法進行了總結和概括,分析了機械產品設計的現狀和發展趨勢,將基於知識的設計方法應用到機械產品的設計中; ?研究了知識獲取、表達、存儲等kbe理論,並將kbe思想應用到ug二次開發中,將設計知識歸納存儲,建立了設計知識庫; ?研究了產品實例表示,建立了復雜產品層次樹狀產品實例庫,介紹了最近鄰域實例檢索策略並給出相應的演算法; ?研究了基於知識重用的三維產品建模技術,研究了在設計過程中的設計資源的重用,計算過程的重用,計算數據的重用,推理過程的重用等等;介紹了基於設計重用的凸輪三維模型的實現方法。First, realized a wegener - willie distribute based network traffic anomaly detection algorithm. we make use of wegener - willie distribute to analyze the inherent time - frequency distribution characteristics of the traffic flow signal. then according to the experience of analysis on historical flow, we construct a normal flow training sample aggregation and a abnormal flow training sample aggregation
通過魏格納-威利分佈分析網路流量信號在時頻分佈上所反映出的內在特點,根據歷史流量的經驗構造正常流量和異常流量兩個訓練樣本空間,通過k最近鄰分類演算法將帶檢測流量信號的時頻分佈與訓練樣本進行比較,完成對檢測樣本的自動分類識別。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。Reinforcement learning algorithms that use cerebellar model articulation controller ( cmac ) are studied to estimate the optimal value function of markov decision processes ( mdps ) with continuous states and discrete actions. the state discretization for mdps using sarsa - learning algorithms based on cmac networks and direct gradient rules is analyzed. two new coding methods for cmac neural networks are proposed so that the learning efficiency of cmac - based direct gradient learning algorithms can be improved
在求解離散行為空間markov決策過程( mdp )最優策略的增強學習演算法研究方面,研究了小腦模型關節控制器( cmac )在mdp行為值函數逼近中的應用,分析了基於cmac的直接梯度演算法對mdp狀態空間離散化的特點,研究了兩種改進的cmac編碼結構,即:非鄰接重疊編碼和變尺度編碼,以提高直接梯度學習演算法的收斂速度和泛化性能。This study employed six data mining methods, including logistic regression, discriminant analysis, artificial neural networks, k - nearest - neighbors, na ? ve bayes classifier, and classification trees, to find the most important factors of earthquake - caused landslide
本研究利用六種資料探勘方法,包括邏輯回歸、判別分析、類神經網路、最近鄰法、貝氏分類器、分類樹,探討影響地震引起山崩的重要因子。Phylogenetic relationships among these haplotypes were inferred from a minimum spanning network, which was constructed by the computer software minispnet, and two phylogenetic reconstructions were determined by using maximum likelihood algorithm incorporated in the phylogenetic inference package ( phylip ) version 3. 5c and neighbour joining algorithm incorporated in the software molecular evolution genetic analysis ( mega ) version 2. 0. all these methods exclusively divided the haplotypes into three monophyletic clades corresponding to china mainland, northern japan, and southern japan populations respectively. in these populations, the china mainland population and the southern japan population have a relatively closer affinity than either of them with the northern japan population
最小跨度網路圖( minimumspanningnetwork , msn )和基於最大似然法( maximumlikelihood , ml )和鄰接法( neighborjoining , nj )的系統發生分析均把單元型聚類為對應于中國大陸、日本南部和日本北部的三個單系,其中中國大陸和日本南部梅花鹿有相對較近的親緣關系,支持日本梅花鹿的祖先通過至少兩個大陸橋從亞洲遷移到日本的觀點。Finally we analyze common data association algorithm such as nearest neighbor algorithm 、 probability data association algorithm and joint probability data association algorithm and adopt the nearest neighbor algorithm in our simulation system
然後對當前比較常用的數據關聯演算法最近鄰法、概率數據關聯( pda )演算法以及聯合概率數據( jpda )演算法進行了分析選擇。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 。Emg is also assessed with recurrence plot analysis ( rpa ), recurrence quantity analysis ( rqa ), iterated function system ( ips ) dumpiness test, singular - value decomposition ( svd ), and false nearest neighbors ( ffn )
我們還應用重現圖形分析、重現定量分析、迭代函數系統成塊檢測、奇異值分解分析、虛假最小近鄰等方法對肌電信號進行了分析。The two impulses optimal rendezvous between coplanar neighboring circular orbits is studied using genetic algorithms
2利用遺產演算法分析了混合指標下鄰近圓軌道的雙沖量最優交會。For the problem of navigation planning, the selection of the navigation signpost, asteroids and the planning of the photoing sequence are important matter. this dissertation proposes criterions, including visible magnitude, distance, relative velocity, angle of sight lines, on selection of asteroids, based on the trajectory scheme of exploring ivar
對于導航小行星篩選問題,提出了基於小行星可見星等、距離、相對速度、視線夾角的篩選準則,並利用綜合評估的方式進行導航小行星的篩選;對于小行星拍照序列規劃問題,分別採用反復最鄰近法和改進的遺傳演算法進行求解,並對兩種方法進行了比較分析。In this paper, we describe the study background, meaning and methods of passive acoustic detective network, summarize the basic theories and methods of target tracking and data association, analyze some tipical data association algorithms include the nearest neighbor algorithm ( nn ), probabilistic data association filtering ( pdaf ), joint probabilistic data association filtering ( jpdaf ), multiple hypothesis tracking ( mht ), and multidimensional s - d assignment algorithm. 2. in detective network, sometimes a surveillance region have only single sensor
從整體上描述了無源聲音探測網路的研究背景、意義、基本框架和研究方法,概述了目標跟蹤與數據關聯的基本理論與方法,重點分析了幾種典型的數據關聯方法,包括最近鄰方法、概率數據關聯濾波器( pdaf ) 、聯合概率數據關聯濾波器( jpdaf ) 、多假設跟蹤( mht )以及多維s - d分配演算法。分享友人