線性學習機 的英文怎麼說

中文拼音 [xiànxìngxuéxíjī]
線性學習機 英文
linear learning machine
  • 線 : 名詞1 （用絲、棉、金屬等製成的細長的東西） thread; string; wire 2 [數學] （一個點任意移動所構成的...
  • 性 : Ⅰ名詞1 （性格） nature; character; disposition 2 （性能; 性質） property; quality 3 （性別） sex ...
  • 學 : Ⅰ動詞1 （學習） study; learn 2 （模仿） imitate; mimic Ⅱ名詞1 （學問） learning; knowledge 2 （學...
  • 機 : machineengine
  • 線性 : [數學] [物理學] linear; linearity線性代數 linear algebra; 線性方程 linear equation; 線性規劃 line...
  1. In the same time the output torque can also be measured and controlled rapidly and accurately. due to the complex nonlinear relation between the applied electrical field and the torque, it ' s difficult to set up the model using existing physic and mathematic theories. however, artificial neural network can express discretional nonlinear relation and has ability of study, which provides a new concept and method to solve this problem

    由於波紋式電流變傳動機構的外加電場和電流變液產生的力矩間呈復雜的非線性關系，用現有的物理和數學理論來建模尚有一定的難度，而人工神經網路有表示任意非線性關系和學習的能力，給解決這類問題提供了新思想和新方法。
  2. A subsection learning algorithm based on

    基於支持向量機的分段線性學習方法
  3. We analyzed the data by applying analysis of variance ( av ), multiple stepwise regression analysis ( msra ), canonical correlation analysis ( cca ) and so on. additionally, new developing statistical method, linear structural relations ( l1srel ), was employed to throw light on the substantial acting mechanism

    應用傳統的（協）方差分析、多元逐步回歸分析、主成分回歸分析、嶺回歸分析、判別分析和典型相關分析等統計方法對影響學習成績的因素進行分析，並採用新近發展的線性結構方程模型（ linearstructuralrelations ， lisrel ）分析影響學習成績的? ?各個因素並探討其影響機制。
  4. By mapping input data into a high dimensional characteristic space in which an optimal separating hyperplane is built, svm presents a lot of advantages for resolving the small samples, nonlinear and high dimensional pattern recognition, as well as other machine - learning problems such as function fitting

    Svm的基本思想是通過非線性變換將輸入空間變換到一個高維空間，然後在這個新的空間中求取最優分類超平面。它在解決小樣本、非線性及高維模式識別問題中表現出許多特有的優勢，並能夠推廣應用到函數擬合等其他機器學習問題中。
  5. Continuous and categorical versions of the generalized association plot, statistical learning methods and nonlinear dimension reduction techniques, and latent class models will be integrated into a platform by combining clever computational algorithms and flexible statistical models

    並將聯合應用精巧的計演算法則與靈活的統計模型，來整合連續型與類別型資料的兩種廣義相關圖、機器統計學習與非線性降維法、以及潛在類別模型等於同一平臺。
  6. Basing on the statistical inaming t ' heory ( slt ), the thesis discusses the svm problems in linearly separable case, lineariy non - separable case and non - linear separable case, and induces a convex quadratic programming ( qp ) problem with an equation constrain and non - equation constrains. then one program on solving the op problem is proposed

    概述了統計學習理論的主要內容，推導了支持向量機方法在文本線性可分、線性不可分和非線性可分情況下實現分類的數學公式，將學習問題轉化為一個在等式約束和不等式約束下的凸二次優化問題，總結了求解的過程。
  7. Based on these graphic models an efficient routing algorithm, called ieacs ( intensified evolutionary ant colony system ) algorithm is suggested. ieacs merges the acs ( ant colony system ) and ga ( genetic algorithm ), thus features both the mechanism of cooperative learning of acs and the information - exchange capability of ga, is presented in this thesis. in case of asymmetric grid graph and grid - off graph

    然後，介紹了一種兼具生物仿生特性的蟻群和遺傳演算法特點的進化蟻群演算法，並對該演算法模仿蟻群的協同學習機制，以及遺傳演算法的優秀群體中的個體之間信息交換的策略進行了闡述，接著探討了該演算法在總體布線和斯坦納樹問題中的應用。
  8. An interesting property of this approach is that it is an approximate implementation of the structural risk minimizaiton ( srm ) induction principle. in this thesis, the theory and method of support vector machines were studied in the given application, text - independent speaker recognition

    支持向量機是在統計學習理論的基礎上發展而來的一種新的模式識別方法，在解決有限樣本、非線性及高維模式識別問題中表現出許多特有的優勢。
  9. Considering the one - sidedness and inaccuracy of knowledge discovery only from single - color database, an approach is proposed to discover knowledge from 1331 groups of mix - color database with partial least - square regression, based on measuring and learning 400 groups of single - color database. by this method, the mean error decreases when converting from rgb to cmyk, the precision of color matching is improved, and the automatic and general problem in color matching is further solved

    本文基於統計學習理論構造了一種快速自適應隨機搜索演算法，證明了演算法的收斂性.給出了一種簡易實用的寬帶天線匹配設計新方法.應用該自適應演算法進行天線匹配設計，不僅演算法簡單，易於編程實現;而且能夠快速設計出具有較好性能的匹配網路，非常適用於各種短波、超短波天線的匹配設計問題
  10. In this paper, according to the fully time compulsory education curriculum standards of chemistry ( experiment draft ) which requests that the students should be able to pose some valuable questions from their daily life or from their chemistry learning and express their questions clearly, the author discussed the inquiry value of the questions in chemistry instruction based on the theory of scientific epistemology, cognitive psychology and ability psychology. furthermore the parameters for measuring the students " questioning ability are also talked about from the perspectives of the motivations of questioning, the cognitive foundation, the value of the questions, the ability of posing questions by themselves and the ability of expressing their questions. after reading many literatures and interviewing some experienced chemistry teachers, the author proposed instructions strategies in cultivating the students " questioning ability in chemistry instruction from five aspects, they are : to stimulate the students to question ; to construct the cognitive foundation of questioning ; to augment the value of the questions ; to make the students pose their questions by themselves ; to cultivate the students " ability of expressing their questions

    本文在研究的過程中，採用了文獻閱讀和向任課教師訪談的方法，以《標準》中對「提出問題」要素的要求「能從日常現象或化學學習中，經過啟發或獨立地發現一些有探究價值的問題；能比較清楚地表述所發現的問題」為主線，運用科學認識論、認知心理學及能力心理學的相關理論作為理論基礎，結合中學生化學學習的特點，從問題的遷移價值、思維價值、能力培養價值和情感價值四方面深入探討了化學教學中問題的「探究價值」 ；通過對化學教學中學生「提出問題」能力的涵義及結構的分析，從提問動機、提問的認知基礎、所提問題的價值、提問的自主性和表達問題的能力五個方面建立了衡量學生「提出問題」能力的指標體系；在此基礎上相應從五方面提出了化學教學中學生「提出問題」能力培養的教學策略，分別是激發學生「提問」動機的策略、建構「提問」認知基礎的策略、提高問題價值的策略、提高學生「提問」自主性策略和培養學生「表達問題」能力的策略。
  11. It possesses not only the self - learning ability and adaptability, but also the function of self - adjusting factors. based on fuzzy set, neural network theory, the fuzzy control model and fuzzy neural network control model of multi variable system are presented. based on the automatic core - welding line of shop floor control system in yangzhou radiator plant computer integrated manufacturing system ( ys - cims / sfcs ), the fuzzy logic theory was applied to the controlling device and established the main heating room fuzzy temperature controller and finally was put into practical use

    本文採用了基於神經網路技術的智能pid控制策略，設計了一類具有自學習和自調整比例因子功能的神經元網路自適應pid控制器的結構及演算法；為解決結構不確定性的復雜多變量系統的控制，基於模糊集及模糊系統、神經網路理論，建立了多變量系統的模糊控制模型及模糊神經網路控制模型；針對揚州水箱廠計算機集成製造系統車間管理與控制系統（ ys - cims sfcs ）中的實際工程問題，設計和開發了散熱器芯子烘焊自動線主烘腔溫度模糊控制器，解決了生產中長期存在的老大難問題，提高了產品質量，降低了單產能耗。
  12. Crack detection system of glass bottles is a subsystem of computer vision detection system on - line of glass products. the whole system was developed by the cooperation of the electronic technique research institute of guangxi normal university and guilin glass factory. in the course of test, the writer found that the subsystem possesses worse adaptability of adapting the change of the environment and worse tolerance to mistakes of the new information

    「玻璃瓶口裂紋檢測系統」是廣西師范大學電子技術研究所與桂林市玻璃廠聯合開發的「玻璃製品的計算機視覺在線檢測系統」的一個子系統，筆者在調試過程中發現，該子系統對環境變化適應的靈活性和對新信息的容錯性較差，這主要是由於該子系統目前所採用的演算法不具備自學習、自適應的能力所造成的。
  13. First, it applies fuzzy logical in the abstract and non - linear dealing ability ; second, it applies neural net in the self - study and any functions approaching ability ? through combining above two ability, it can find a best p i d non - linear controlling regularity and achieve controlling on line of the unknown subject etco therefore, it not only can strengthen robust and intelligence of the system, but also make design simple and easily be requiredo in addition, the thesis also does many works on procedure of upper - computer and basic - controller and the whole system designed can be put into work immediately

    根據啤酒發酵過程具有大慣性、時滯和非線性等特點，本論文還提出一種基於神經網路的模糊自適應pid控制方案，它一方面利用模糊邏輯的「概念」抽象能力和非線性處理能力，另一方面利用神經網路的自學習能力和任意函數的逼近能力，通過兩者的有機結合尋找一個最佳的p 、 i 、 d非線性組合控制規律，以實現對未知對象進行在線控制，並具備適應控制環境變化的能力和自學習能力等。
  14. Based on polymerization reaction of the nylon - 6 rubberized cord fabric production of distributed control system in yangzhou organic chemical plant computer integrated manufacturing system ( yh - cims / dcs ), the multiple stepwise regression method was used to build the statistic mathematical models of the molecule weight and the monomer quantum of casting slice belt. then the optimization model of polymerization reaction was presented, which was solved by using simulation annealing algorithm to obtain the best techniques parameters. the improved hybrid genetic algorithm and back propagation algorithm are combined to train neural network, brought out the neural network prediction model of casting slice belt ' s average molecule weight to guide the technologist on - line

    提出了流程工業生產過程操作優化策略和應用實施方法，包括生產過程離線優化策略、非線性問題求解策略、在線優化模型及學習策略；結合揚州有機化工廠計算機集成製造系統集散控制系統（ yh - cims dcs ）的實施，針對錦綸? 6浸膠南京理工大學博士學位論文摘要簾于布生產中己內酚胺聚合反應過程優化控制這一工程實際問題，採用統計建模方法，建立了聚合反應過程的優化模型；為求解所得的優化模型，提出了種改進的有約束條件下的模擬退火演算法，該演算法能避免陷於局部最優解，有效地提高了所求解的全局性和可靠性：提出了基於改進的ga演算法和sp演算法相結合的混合學習演算法，建立了基於神經網路的聚合反應過程生產目標在線預測模型，該演算法和模型滿足了生產中的實時性和實用性要求。
  15. Furthermore, utilizing the characteristic that filtering error covariance expresses filtering precision and the principle of information conservation, the dynamic and reasonable distribution of distributed tracks weight coefficient is accomplished. jerk model and strong tracking filter is organically assembled, and based on spatio - temporal synthetically analysis and lme, a self - learning estimation method of the system measurement variance is given. the method improves obviously the

    3 、將jerk模型與強跟蹤濾波演算法有機地結合，並利用時空綜合分析和極大似然估計的思想推導出了一種系統量測方差自學習修正方法，以優化強跟蹤濾波演算法中次優漸消因子和濾波增益的在線選擇，同時根據多傳感器數據融合具有改善濾波精度的性質，進而給出一種基於jerk模型的多傳感器數據融合演算法。
  16. Being a local approximating neural network, cerebellar mode arculation controller ( cmac ) has the distinctive ability of disposing nonlinear mapping and building nonlinear relationship. the paper proposes a cmac - based control scheme in which learning and controlling are alternately processed. the method is applied to the ac servo control system and obtain high quality output

    作為局部逼近神經網路之一的小腦模型關節控制器（ cmac ）對處理非線性映射、建立非線性關系具有獨特的優點，本文將cmac應用於交流伺服電動機系統的控制，採用邊學習邊控制的工作機制，取得了良好的實驗結果。
  17. Firstly, many fixed models are modeled at different operating points through mechanism analysis. an optimal model set based on the ideal of on - line learning is proposed, which included fixed models and adaptive models. when the operating point exceeds the initial modeling range, stability results are still obtained

    首先，通過機理分析，在典型工況點下建立多個固定模型，基於在線學習器思想，給出了一種優化模型集的方法，採用固定模型加自適應模型組成新的優化模型集，在運行工況超出初始建模範圍時，仍能保證系統的穩定性。
  18. Using framework inference and researching strategy of prior part, 1 build inference engine of expert system of motor fault diagnosis. utilizing feature analogy learning method, complete mechanism of instance learning of expert system. while the system records process of diagnosis and route of researching, realize explaining control strategy by report

    利用框架推理，以局部符合的深度優先搜索構建電機故障診斷專家系統的推理機，利用屬性類比學習法實現專家系統事例學習機制。採用記錄診斷過程，和搜索路線通過報表實現解釋機制。
  19. This paper studies a design method of decentralized signal detection system which consists of adaptive fuzzied local - detectors and a data fusion rule of on - line self - learning weights. the local - detectors for inaccurate signal parameters are modeled by means of fuzzy sets which can be adapted to change of the inaccurate signal parameteres. the data fusion center where the optimal declsion rules are used as objective function can learn the local decision weights on - line. the robustness of the fuzzied local - detectors and the adaptability of the self - learned fusion rule make it true that the detection performance of the decentralized detection system is improved under uncertainty and this system can also process the decentralized signal detection with a unknown parameter of unknown distribution or non - random unknown parameter

    本文研究了一種由局部自適應模糊檢測器和在線自學習融合演算法所構成的分散式信號檢測系統的設計方法.由模糊集對不精確信號參數的局部檢測器進行建模，該模糊模型可自適應不精確信號參數的變化.融合中心以最佳融合規則作為目標函數在線自學習局部判決的權重.局部模糊檢測器的魯棒性和自學習融合演算法的自適應性使該分散式檢測系統在不確定環境下的檢測性能得到提高.也使該系統能夠處理未知分佈的未知參數以及非隨機未知參數的分散式信號檢測
  20. The approximation property of projection pursuit wavelet neural network ( ppwnn ) which is applied to non - linear function is studied, the convergence rate is given in this paper also. 3. we demonstrate projection pursuit wavelet neural network ( wppnn ) has a good applicability by the approximation of five non - linear functions and the prediction of sunport and chaos time series and the use of edge detection

    主要工作如下： （ 1 ）建立了投影尋蹤小波神經網路的數學模型、拓撲結構及非線性學習機理； （ 2 ）證明了投影尋蹤小波神經網路可以逼近非線性函數，並給出了其收斂速度； （ 3 ）通過投影尋蹤小波神經絡對五種非線性函數的逼近和對太陽黑子、混沌時間序列的模擬預報以及投影尋蹤小波學習網路在圖象邊緣檢測中的應用，說明該網路具有很強的實用性。
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