tree machine 中文意思是什麼

tree machine 解釋
樹結構計算機
  • tree : n 特里〈姓氏〉。n 1 樹〈主要指喬木，也可指較大的灌木〉。 ★玫瑰可以稱為 bush 也可以稱為 tree 2 木...
  • machine : n 1 機（器），機械；機關，機構。2 印刷機器；縫紉機；打字機；汽車；自行車；三輪車；飛機；〈美俚〉...
  1. Designing on dibbling machine for plant tree

    植樹挖坑機設計若干問題
  2. Firstly the patterns of the multifingered hands are detailed, eight patterns are defined. the classical bayes method is used in the classification of pre - grasp of multiple fingers based on three patterns which are grasping, holding and pinching. based on the eight pre - grasp patterns, bp neural network is applied in the classification of the pre - grasp of multifingered hands and gets a good effect. the method solves the shortcoming input sample relying on the propobility density and simplified the un - insititution characters extraction. in this paper, support vector machine ( svm ) and binary - tree with clustering is applied in the classification. this method can solve the slow speed and effect with fewness sample in the classification, achieving a good effect. in this papper, we extract the characters of the regulation object with geometry characters and extact the unregulation object with the image analysis

    此法解決了輸入樣本依賴物體的概率密度的特點，簡化了分類特徵提取的不直觀性。本文還採用了支持向量機（ svm ）和聚類二叉樹相結合的方法對機器人手預抓取八類模式進行分類，解決了預抓取模式分類訓練速度過慢以及在分類中樣本數量偏少而影響分類效果的問題，得到了較高的正確率。本文對預抓取幾何形狀規則的物體採用直接提取其幾何特徵，對于預抓取幾何形狀不規則的物體採用圖像分析的方法進行特徵提取。
  3. The gcc compiler scales very well - from simple batch utility programs to multimillion - line systems. it is the clear syntax tree front end, the highly recapitulative intermediate language and the concise machine description back end that help gcc port to kinds of platforms

    其清晰的前端語法樹結構、高度概括的抽象機中間語言、簡潔有力的後端機器描述等三部分為快速實現多語種開發、多平臺移植提供了有力的支持。
  4. According to the program structure of ansi c, some syntax - tree - nodes are designed in front - end, including function, block, data structure, type, expression, identifier and so on. syntax tree is divided into three levels, namely program level, function level and block level, which are useful for analysis of syntax and semantic in compiler as well as transferring syntax tree into rtl. retargetable compiler mainly includes intermediate representation, machine description and interface technique between compiler and machine description

    編譯前端的實現技術包括詞法分析、語法語義分析和中間代碼生成技術等，針對ansic的程序結構，分別設計了函數、塊、數據結構、類型、表達式、標識符等語法樹結點，並將語法樹分成編譯層次、函數聲明和塊三個不同層次，使語法樹具有清晰的層次結構，有利於編譯程序的語法和語義分析，以及從語法樹到rtl中間表示的轉換。
  5. On the base of thorough analysis of fault characters, the petri net model is introduced and changed into fault petri net ( fpn ) that can be used to settle some critical problems such as complicated faults, degradation competition and one cause with multiple consequence according to the characters of fault evolvement and spreading. in order to predicate the remained life of particular machine under special working conditions, an algorithm was also providcd to analyse the timely characters of the fpn. it is demonstrated that the method provided in this paper can simulate the dynamic evolvement process more appropriate than tranditional methods such as fault tree analysis ( fta ) and can predicate the remained life of the particular machine under special working conditions

    為此，深入分析了機械設備的故障特性，把以描述離散事件動態系統見長的petri網分析技術引入到機械設備剩餘壽命預測領域，並根據故障的演變和傳播特點，將petri網加以改造，提出適用於對機械設備復合故障動態演變歷程進行模擬的「故障petri網」 ，解決了「並發故障」 、 「劣化競爭」和「一因多果」等問題，並給出故障petri網的時間特性分析演算法，用於單機具體工況下的剩餘壽命預測。
  6. In the thesis, the railway traffic accidents of the fire disaster, conflict, separation from the track, smooth movement, slide, mistake operation of the train meeting and departing, the movement of the train will be analyzed systematically, applying the engineering theory of human - machine - environment and the model of the accident tree, the changing tree, the tree of success - lose

    運用人?機?環境工程學理論和事故樹、事變樹、成敗樹等多種模型，採用宏觀分析與微觀分析相結合的辦法，對列車火災、沖突、脫軌、冒進、溜逸、錯誤辦理接發列車以及調車等慣性事故進行系統分析。
  7. He had learnt how to fly, the reason that he didn ' t appear at westminster was that his flying - machine had crashed into a tree, and he had been killed

    他確已學會飛行，但沒有出現在威斯敏斯特宮上空的原因是他的飛行器撞到了一棵樹上，他本人也喪生了。
  8. Our company own several most forerunner of machine production line, and up to 100 excellent of produce employee, every year realization near ten million of total output value, is guangdong province inside have equal real strenght of christmas tree handicraft product produce factory house

    我們公司擁有數條最先進的機器生產線，以及上百名優秀的生產員工，每年實現近千萬的生產總值，是廣東省內有著相當實力的聖誕樹工藝品生產廠家。
  9. Apart from this, in order to raise the standard of the gardening maintenance in housing estates, the horticulture team has also arranged a training course for 22 senior technicians in the housing department for increasing their knowledge and interests towards gardening. the content of the course includes gardening maintenance management, gardening design, gardening machine operation and maintenance, tree preservation and the laws of tree protection etc

    園藝保養標準，園藝股特別安排了一個理論與實習並重的園藝訓練課程，給予房屋署22名高級技工，提高他們對園藝的興趣和認識，課程內容包括園藝保養管理、園景設計、園藝機械的操作及保養、喬木保養及有關樹木保護法例等等。
  10. The main work includes : 1. because the constructing machine groups possess the characters of dispersing equipments, fixing roles and flowing work, so we establish a systematic structure which is a layered - distributed tree structure

    根據路面施工機群存在的設備分散、角色固定、多機種流水作業的特點，確立了面向公路施工的多智能體機群的分層- -分散式樹狀體系結構。
  11. Torsional vibration mathematical modeling of auger - bit principal axis of digging machine for tree planting and its solution

    植樹挖坑機鉆頭主軸扭轉振動數學建模與求解
  12. The relationship between machine description and code generation, and the technique of mapping rtl into object code by tree pattern matching are described in detail

    重點研究了機器描述與代碼生成之間的關系、如何選用合適的中間表示進行目標機器指令系統的描述、樹模式匹配的目標代碼生成技術等。
  13. Hybrid machine learning ( hml ) is the latest applying in the field of intelligent information process. it combines the induced learning based - on decision - making tree with the blocking neural network. and it provides a useful intelligent knowledge - based data mining technique

    混合機器學習是在智能信息處理上的最新應用，它把以決策樹為基礎的歸納學習與模塊化的神經網路演算法結合起來，從而提供了一種在知識基礎上進行證實和確認的行之有效的智能化數據挖掘過程，其核心演算法是id3和ftart 。
  14. In this dissertation, the research trends for the problem have been introduced ; the ‘ dim ’ and ‘ point ’ has been strictly defined in mathematics from machine vision and human vision ; the ideal clutter suppression system based on clutter predication and the realization and evaluation of evaluation index has been studied, in succession the clutter suppression technologies have been researched. firstly, the classic nonparametric algorithm has been analyzed in detail and systematically, for it ’ s weakness that it cannot remove the non - stationary clutter ideally, kalman filter algorithm for clutter suppression in 2d image signal has been built. secondly, fast adaptive kalman filter is presented based on fast wide - sense stationary areas partition algorithm : limited combination and division algorithm based on quarti - tree algorithm, new taxis filter route algorithm which can break through the limitation of the necessity of pixel neighborhood of 2d filter and laplace data model with two parameters which is perfectly suitable for the residual image of kalman clutter suppression

    首先分析了經典的非參數法，對於四種具有代表性的核，從前述的三個性能評價方面做了分析和對比，指出了其速度快的優點和對非平穩圖像適應性差的弱點，針對非參數法的弱點，重點研究了對非平穩圖像適應良好的卡爾曼雜波抑制技術:建立了非平穩圖像的類自回歸模型，在此基礎上建立了二維卡爾曼濾波基礎的兩個方程:狀態方程和測量方程;建立了非平穩圖像準平穩區域快速劃分演算法:基於四叉樹法的有限分裂合併演算法;二維空間的基於k排序的濾波路線演算法，突破了空域濾波路線上區域相鄰的限制;在這些研究的基礎上實現了快速卡爾曼估計，實驗驗證了該方法相對逐點卡爾曼估計可以提高運算速度三倍左右;雜波抑制結果表明傳統的高斯性檢驗並不適合卡爾曼估計后的殘余圖像，由此建立了殘余圖像的雙參數拉普拉斯模型，實驗表明其可以完好的吻合殘余圖像的概率密度曲線。
  15. Five novel algorithms are proposed. they are pca support vector machine algorithm which is based on the idea of combination multi - class classification, weighted pca support vector machine algorithm, wavelet support vector machine borrowed idea from the kernel function, rs - svm dynamic prediction and fuzzy binary tree support vector machine. the performance and applications of the algorithms are studied in depth

    本文分析和總結了現有的幾種典型支持向量機演算法，提出了基於組合式多類別分類器思想的pca支持向量機演算法、加權pca支持向量機演算法、借鑒核函數方法的小波支持向量機演算法、 rs - svm動態預測方法、模糊二叉樹支持向量機等演算法，對其演算法性能和應用作了深入研究。
  16. Data mining is defined as the nontrivial extraction of implicit, previously unknown, and potentially useful information from data or known as knowledge - discovery in databases ( kdd ). to do this, data mining uses computational techniques from statistics, machine learning and pattern recognition such as discriminate analysis, regression method, mathematical programming, decision tree, k - nearest neighbor, artificial neural network etc. although many positive attempts are done, the development and application of personal credit assessment model in chinese bank industry is still in its infancy

    數據挖掘是20世紀90年代後期人工智慧和數據庫領域興起的一種數據處理和知識發現（ kdd ）理論，是從大量的、不完全的、有噪聲的、模糊的和隨機的實際應用數據中，提取隱含在其中的信息和知識的過程。對數據進行分類和預測是數據挖掘的主要功能。數據挖掘用於信用評估的優勢主要在於: （ 1 ）能處理和修正實際數據問題，演算法模型具有自檢
  17. Thirdly, by introducing fuzzy theory into system evaluation, evaluating student, teaching, course resource, and function of whole system. fourthly, making use of learning from examples based on information theory, machine learning algorithm is improved and machine learning decision tree is realized. finally, on reasoning mechanism, combining means of two classes reasoning is taken

    第三，在系統評價中引入了模糊理論，對學生、教學、課程資源以及系統的整體功能進行了評價；第四，採用基於信息論的示例學習，改進了決策樹學習演算法，並建立了機器學習決策樹；第五，在推理機制上，採取兩級推理相結合的方法進行推理，即用基於語義網路的模糊推理確定教學序列，用基於產生式規則的推理確定教學方法，並給出了詳細的推理演算法。
  18. The author designed the state diagram which based on the event driven which is suit for e - government affairs architecture which is cited from state diagram and the finite state machine theory. thus, the limitation of the present modeling methods which is unable to describe complex operation process can be gotten over. the uniflow ' s organization architecture adopts new matrix organization architecture and combined with the static department tree structure and the dynamic workgroup pattern

    在uniflow工作流管理系統的集成設計中，作者從狀態圖及有限狀態機理論中引申設計出了適合於電子政務架構基礎的基於事件驅動的狀態圖（ statediagram ）模型，克服現有的建模方法不能描述復雜業務過程處理的缺陷； uniflow的組織架構採用新型的矩陣制組織結構，將政務部門的靜態部門樹型結構和動態工作組模式相結合，使組織模型和過程模型靈活地集成起來，克服了傳統組織模型的單一、缺乏彈性等缺陷。
  19. In our research, variation of contour line is used for describing the characteristics of image structure. using teacher images and machine learning method, an image direction classification model is built as a decision tree. test results argued the validity of this method

    本課題使用圖像輪廓線向量特徵來反映圖像的構圖特徵，通過教師實例獲得用戶的方向分類概念，然後利用決策樹的學習建立分類模型，並且在此分類模型的基礎上實現了一個圖像正立方向判別系統。
  20. In the course of designing reasoning machine, this article uses forward inference and the tactics of best - first search. and in connection with much of fuzzy knowledge, it introduces confidence theory to infer the formula of confidence which propagate in and / or tree, and illustrates how to calculate the confidence when it propagate in the course of automobile components failure analysis reasoning

    在推理機的編制過程中，本文採用了正向推理方法及最好優先搜索策略，同時針對知識庫中大量的模糊知識，本文引入了可信度推理模型，推導了可信度在與或樹中傳播計算公式，並舉例說明了在汽車零部件失效分析推理過程中可信度的傳播計算方法。
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