self-learning system 中文意思是什麼
self-learning system
解釋
自學習系統-
The urban traffic trunk is regarded as a large system, and the subsystems are the intersections in the trunk. then we desipi a two - level coordinated fuzzy control method and use ann to implement the fuzzification, fuzzy inference and defuzzification. the arithmetic homs the strongly self - adapt, self - learning and fault - tolerant function
3 ）把城市交通干線作為一個大系統，子系統為干線上的各個交叉口，在此基礎上，設計了一種城市交通干線的兩級模糊協調控制演算法，並用bp神經網路實現控制器的模糊化、模糊推理和清晰化三個部分，系統具有較強的自適應、自學習和容錯性。 -
Expert system has many merits. it has the ability of heuristic illation, and can explain for illation and append new knowledge in the knowledge database. but it also has obvious shortcomings, such as, poor ablitity in ka ( knowledge achieve ), inefficient and incomprehensive. the artificial neural network has the ablitity of parallel processing, associative memory, distributed storage of knowledge and high robust etc. it also has perfect characteristics of self - organizing, self - adaptive, self - learning. it specializes in visualize ideation but is short of logic ideation
專家系統在故障診斷領域得到廣泛的應用，專家系統具有許多優點，能利用專家的知識進行啟發式推理，能夠解釋其推理過程，並能夠不斷地、靈活地增加新的知識。但專家系統也存在明顯的缺陷：獲取知識能力差、效率低、范圍窄。可以說專家系統長于邏輯思維缺乏形象思維。 -
According to the specifications of the dynamic weighing and batching process control in concrete batching plants, the iteration self - learning control method is applied for a real work. a weighing and batching computer control system of concrete batching plants is made, which includes hardware and software
針對混凝土攪拌裝置的稱量配料控制要求，將迭代自學習的控制方法應用於實際工程中，進行了混凝土攪拌裝置的稱量配料計算機控制系統的設計，包括硬體和軟體。 -
By the network, a optional nonlinear input - output mapping relationship can be realized. concrete mapping relationship materialize at the distributed linking weight values between neurons that build up the ann. due to the strong self - adaptability and self - learning - ability as well as excellent and robustness and tolerance ability, it can not only replace many traditional algorithm which is very complicated and timeconsuming, but also, because the processing to information is more close to person ' s thought activity habit, it provides a new way for solving the prediction of nonlinear system and unknown model
通過這種網路能夠實現任意的非線性輸入輸出映射關系，具體的映射關系體現在構成網路的神經元之間的分佈連接權上，由於網路具有很強的自適應和學習能力以及魯棒性和容錯能力，它不僅可以替代許多復雜耗時的傳統演算法，並且由於它對信息的處理更加接近於人的思維活動習慣，為解決非線性系統模擬和未知模型的預測提供了新途徑。 -
In the field of application of fault diagnosis with mese, using short signal analysis technology can get characteristics vector of faults. then fuzzy reasoning and neural networks are used to construct fault diagnosis system. the fault diagnosis system analyses the characteristic vector by self - learning
在故障診斷領域的應用研究方面，將的簡訊號最大熵譜分析與模糊推理、神經網路技術相結合，採用模糊神經網路對最大熵譜分析得到的特徵向量進行自學習的模糊推理，能夠準備識別故障類型。 -
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。 -
To support the public s self - learning and information needs, the hong kong public libraries have developed a multimedia information system mmis to provide one - stop interactive multimedia information service that allows the public to search, browse, view or listen to all kinds of multimedia materials through workstations inside the library or through internet. you may surf the internet with workstations inside the library as well
為方便市民自學進修，以及滿足他們對資訊的需求，香港公共圖書館自行開發了一個多媒體資訊系統，為市民提供一站式的互動多媒體資訊服務，讓市民透過圖書館內的電腦工作站或經由網際網路，隨時隨地搜尋、查閱、收看或收聽系統內各式各樣的多媒體資訊，你亦可使用館內的工作站瀏覽網際網路。 -
Just as most of the natural language process technologies, the methods of ner have two classes, statistic - based and rule - based. considering of the limitation of using only one of the methods, we combined both of the methods to recognize named entity in this thesis. we combined the maching learning with ner to make the system get the ability of self - learning. we have done research on decision tree of maching learning mainly and designed a recognize model to recognize named entity. this model first used the probability and statistic way to extract the potential named entities, and then some context linguistic language information are employed in the model to recognize the named entities furtherly. as the wrong entites are denied, the recongnize effect has been improved
鑒于單獨採用基於統計方法或基於規則方法的缺陷，在這篇論文中，採用了統計與規則相結合的方法來識別命名實體。為了使系統具有學習能力，我們把機器學習方法應用於中文命名實體的識別，這里我們著重研究了機器學習中的決策樹方法在中文命名實體識別中的應用;設計了一種基於決策樹的識別模式，該模式首先利用概率統計方法，在文本中盡量完備地識別出潛在的命名實體，然後利用潛在命名實體相關的上下文詞法、語法和語義特徵作為屬性構建決策樹，否定不正確的實體，進一步提高了命名實體識別的準確率。 -
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。 -
We aim to build a theory system to simulate brain in the information process ; a computer aided design system having integrated social factors and having self - learning function to update its knowledge ; and an opening, flexible supporting knowledge environment to adapt to changing and development of world easily
通過本項目的研究，建立了以仿生人腦處理信息的一套理論體系，以及一個開放、柔性的知識信息處理環境，構建了可用創新設計的計算機系統。 -
The soccer robot system is a dynamic environment with multiple obstacles. it is a problem of high complexity to perform path planning in such environments. the traditional methods are not efficient in such complex environments. in this paper, a self - learning method of robot navigation is proposed based on the reinforcement learning method and artificial potential field method
本論文將增強式學習演算法和人工勢場法相結合，提出狀態評價函數和勢場的對應關系，以及控制策略和勢場力方向的對應關系，通過機器人的自適應學習，來形成優化的人工勢場，使機器人能夠以最短路徑繞過障礙，到達目標。 -
Fusion system of self - learning diagnosis decision
自學習的診斷決策信息融合系統 -
This thesis is arranged as follows : in this paper we build a self - learning system for detection rules of named entity alignment using the transformation - based error - driven learning, which has succeeded in parsing
本文從以下幾個方面進行了研究: 1 .本文運用在句法分析方面取得成功的基於轉換的錯誤驅動演算法建立了一個漢英名實體詞對齊的自學習系統。 -
After building a large corpus that has 3529 bilingual sentences which was word aligned manually, the self - learning system retrieves a large amount of rules. not only retrieving of these rules is easy to use but also the accuracy of automatic detection of named entity alignment can be raised when using these rules
在建立了一個擁有3592句手工對齊的語料庫之後，通過自學習系統獲取了大量規則，這些規則的獲取方法不僅簡單易行，更在應用於漢英名實體詞對齊中取得了很高的正確率。 -
The dynamic weighing and batching process of a burden system is studied in this thesis. an iteration self - learning control method is proposed. the control system is designed and the simulation experiments are made
本文從工程實際出發，對配料稱重系統中的稱量配料過程進行了研究，提出了迭代自學習控制方法，進行了控制系統的設計和模擬實驗研究。 -
Failure diagnosis expert system for pressure vessels is made up of knowledge base, knowledge base management system, inference machine, integrated database, self learning system, explanation machine and human - machine interface etc. knowledge base and inference machine are absolutely necessary
壓力容器失效分析專家系統由知識庫、知識庫管理系統、推理機、綜合數據庫、自學習機制、解釋機制、人機介面等部分組成。其中最重要的是知識庫和推理機兩部分，這兩部分缺一不可。 -
Self - learning system
自學習系統 -
In this paper, the upper - class intelligent control scheme is adopted according to the characteristics of tobacco re - dryer and the present control condition in order to solve the problem that the output tobacco moisture can ? keep stable. that is, to keep the old every pid control link, to add the upper - class computer so that sets up the upper - class intelligent control system that consists of the description management sub - system, the fuzzy compensation on line sub - system and the self - learning system. the following are control procedure : first of all, a series of output values of description can be obtained by the forward inference of basic controller on the basis of the information of input tobacco, then, these output values can be adjusted by the fuzzy compensation controller with inquiring the fuzzy control - list on line in the light of the output tobacco moisture error
本文針對烤機的工藝特點和目前控制現狀，提出用上位智能控制的方法解決烤機目前存在的問題，即在保留原有各段pid控制的基礎上，增加上位計算機，建立起由配方管理子系統、模糊在線修正子系統和自學習系統組成的上位計算機監控、決策的智能控制系統；控制過程為：基本配方控制器根據來料信息正向推理提供煙葉復烤機各段參數設定值的基值；模糊補償控制器根據煙葉水分偏差在線查詢模糊控製表提供相應參數設定值的修正值，實現煙葉復烤機參數的在線修正；學習環節的引入實現煙葉配方的在線優化。 -
On the base of the common structure of expert system and the simple data collection system, the author expatiate the principle, design and implement of knowledge database, inference engine, explain system and self - learning system of the fault diagnosis expert system
作者以專家系統的一般結構和簡單的數據採集系統為基礎，詳細闡述了故障診斷專家系統中知識庫、推理機、解釋機制和自學習機制的原理以及設計實現。 -
The real - time accurate parameters are then transferred to the stochastic optimal controller by the self - learning system to control the attitude of satellites
學習系統將干擾白噪聲參數的精確估計值傳送至隨機最優控制器以獲得精度優良的控制效果，通過模擬研究表明了方法的有效性。
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