適應型學習 的英文怎麼說
中文拼音 [shìyīngxíngxuéxí]
適應型學習
英文
adaptive learning-
Thirdly, resorting to cooperation - competition model of biomathematics, this thesis proposes a new co - evolution model. simulation results are shown to verify its effect and practicabilitv. last, standard methods for optimizing neural netvvorks are easily trapped into local optimization, and unable to adjust the structure of neural networks, thus their application is limited to certain extent
本文主要驗證和設計適應性操作運算元和小生境方法保持群體多樣性的能力，實驗表明兩種方法都能較好地達到目的；利用生物合作競爭模型設計協同演化來動態地改變群體規模，實驗表明該模型是有效的；人工神經網路是得到越來越廣泛應用的學習系統，但是由於學習演算法存在一定的缺陷，如易於陷入局部極值，難以調整網路的結構等，使神經網路的應用受到一定的限制。This paper adopts an adaptive learning algorithm based on hierarchy clustering to update user profile, which continuously abstract the cancroids of one class of optimum information from the feedback flow of system, which effectively shield the learning process from plenty of feedback noises produced by distorted threshold and sparseness of initial information, which also can imitate artificial feedback approximately to perfect the intelligence of adaptive learning mechanism
摘要本文採用一種基於層次聚類的自適應學習策略，從系統反饋的信息流中，動態提取一類最優信息的質心更新用戶模型，有效屏蔽了閾值失真和初始信息稀疏造成的大量反饋噪聲，並且能夠近似模仿人工反饋，完善自適應學習機制的智能性。In order to play the role better, we should increase exoteric, active and experimental chemistry exercises properly
為更好地發揮義務教育階段化學習題的作用，在習題中應適當增加開放型、活動型和實驗型習題。The experimental results show that the system constructed by this method has the virtues of robustness, flexibility, explicable ability and self - study capability, since the new method has got both the merits of expert system and of neural network
實驗結果表明，混合型專家系統既具有專家系統靈活性、解釋性的特點，又具有神經網路魯棒性、自學習能力的特點，因此非常適合用於企業信用評價，具有廣泛的應用前景。This study distinguished personal attributes as external, abilities, and effort, and examined how self - handicappers attribute to obtain well learning adjustment
摘要本研究主要關注自我跛足學生在學業評量后的歸因型態及其後的學習適應情形。Edm has some remarkable advantages over traditional models, includes using implicit causal models, self - learning capacity, weak dependence on domain knowledge, wide applicability, robustness, self - adaptability, and population - based searching, etc. tracing back its intrinsical ideas, edm is just making use of the nature ' s decision making strategy, natural selection, to solve the decision making problems faced by human or the intelligent agents
進化決策主要利用了進化演算法與形式化計算模型相結合所具備的自動建模能力，它具有隱式因果模型、自學習、弱知識依賴、應用廣泛、穩健性、自適應和群體搜索等優勢。追根溯源，進化決策的基本思想正是利用大自然的決策機制（自然選擇）來解決客觀世界所提出的決策問題，而自然進化又是已知的能力最強的問題求解范型。During the procedure of system design and implementation, the author has made some innovative efforts such as : ( d establishing the user interest orientated model, the model receiving user interests continuously and conjecturing user interests by interaction with the user, accumulating user preferences in information demand, thereby achieving self - adaptive retrieval, ? roviding a feedback method which is based on the human - machine interaction, summarizing the user operations on the interface of result presentation, and designing an algorithm for capturing user operation behaviors, by which the changes in user interests and preferences can be learned potentially, ? ffering a method for user interest mining which can extract subjects of information confirmed by user, thereby conjecturing or predicting different kinds of expressions of the same interest or extracting the new interests or unexpressed interests, ? roposing a solution of personalized internet information retrieval based on the user interests in accordance with the above - mentioned work, the solution having very strong feasibility and practicality with taking user interest model as center, employing machine learning ( active learning and passive learning ) and data mining as tools, and being assisted with network robot,
Piirs系統分析與設計過程中所做的創新性的嘗試主要有以下幾個方面：實現了基於用戶興趣的用戶模型，該模型通過與用戶的交互（主動交互和被動交互） ，不斷地接收用戶的興趣和推測用戶的興趣，積累用戶信息需求的偏好，實現自適應的檢索；提供了一種基於人機交互的反饋方法，對用戶在結果呈現界面上的操作進行了歸納總結，設計了用戶操作捕獲演算法， 「隱性地」學習用戶興趣和偏好的變化；提供了一種用戶需求挖掘的方法，對用戶已確定的信息做進一步的主題挖掘，由此推測或預測用戶同一興趣的不同表述方式或者挖掘出用戶新的或未表達出來的興趣；在上述工作基礎上提出了一套完整的基於用戶興趣的個性化網路信息檢索的解決方案，該方案以用戶興趣模型為中心，以機器學習（主動學習和被動學習）和數據挖掘為手段，輔以網路機器人，具有很強的可行性和實用性。As china has been a member of wto, the chinese companes must be redesigned for leaming organzations to adapt to the new environment, to bulld a leaming orgbozaion. hnistratiye persormel and workers should irnprove their self leaming capability
我國已經加入wto ，我國企業要適應新的內外環境，必須創建學習型組織：要創建學習型組織，首先必須提高組織和員工的自主學習能力。Only when the teacher becomes a person typical of service, management communication, and study, could he or she meet with the demands of consuming society
因此，教師在教學中惟有積極變革角色，成為服務型、管理型、對話型、學習型教師，才能更好地適應社會的發展。The innovations of this thesis can be summarized into three points. firstly, the average relative velocity is introducd into a novel adptive weighted clustering algorithm as one important parameter of weight, then it increases the stability and self - adaptability of cluster head. secondly, a new approach to calculating weight is suggested by integrating subjective and objective factors. it is verified by comparison with other approaches to selecting weight. thus the velocity of weight responding to the changes of network topology is increased. finally, using a som neural network to create a classifying model enables every node to learn to identify by itself the role in manet
本文的創新點有三個:首先本文在wca和aow分簇演算法的基礎上，引入了平均相對移動速度作為權值重要的參數，提出了一種新的基於權值的自適應分簇演算法，提高了簇頭在移動中的穩定性和自適應性;其次，提出了利用主客觀綜合賦權法確定權重的權值計算方法，通過與其他權重選擇方法比較，網路結構變化的權值響應速度得到了改進;最後，論文利用自組織特徵映射神經網路建立分類模型，使得網路中的節點可以自學習地確定簇中角色。A lot of foreign corporations are changing actively to learning organization, and practices have proven that learning organization model truly made enterprises better conform environment and face competition
國外許多著名大公司都在積極將企業向學習型組織轉型，實踐證明，學習型組織模式確實能夠使企業更好的適應環境變化和競爭需要。Fourthly, leaning agent adjusts the domain model and user model adaptively by reinforcement learning and genetic algorithm
第四，作者研究了學習agent使用強化學習、遺傳演算法自適應地調整領域模型和用戶模型。In this dissertation, two kinds of optimization, methods are proposed. firstly, only these linking weights corresponding to the control rules that affect the control performance significantly are updated in order to reduce the compute works and speed up the training progress. secondly, the updating step is adjusted adaptively in accordance with the error and the change of error of the system based on the t - s model to get better performance
針對模糊神經網路控制器一般存在著在線權值調整計算量大、訓練時間長、過度修正權值可能導致系統劇烈振蕩等缺點，提出了兩種模糊神經網路控制器的優化方法：在線自學習過程中僅對控制性能影響大的控制規則相關的權值進行修正，以減小計算量，加快訓練速度；基於t - s模糊模型，根據偏差及偏差變化率大小動態自適應調節權值修正步長，抑制控制器輸出的劇烈變化，避免系統發生劇烈振蕩。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。Chemical industry information not merely embodyed the ordinary chemistry information substance, chemistry manufacture technological process and representative installation introduction are still have, in case contacing legal institutions sulphuric acid ? nitric acid industry system law ( ammonia oxidate law ), synthetic ammonia industry, chlorine and caustic soda are manufacture to electrolysis salt water, along with electrogilding, refine aluminium, iron - smelting and steel - smelting, cement and glass manufacture summarized account, the mineral oil is refined, hence, the chemical industry information education is contrastd against the ordinary chemistry information education, proper such representative means, be living, the means interpreted is in speech oridinarily wholly adoptd in the chemical industry information education, now most of tutors also is adopt the means interpreted in speech, cause that the chemical industry information education is insipid like this, student lack interest to chemical industry information study, but as a result of value the pair foundation, light practice, student may say the become a mere formality to chemical industry information study o since multi - med
化工知識不僅包含了一般化學知識的內容，還帶有化學生產工藝流程及典型設備的介紹，如接觸法制硫酸，硝酸的工業製法（氨氧化法） ，合成氨工業，電解食鹽水製造氯氣和燒堿，以及電鍍、煉鋁、煉鐵和煉鋼，水泥和玻璃的生產簡介，石油的煉制等，因此，化工知識教學與一般化學知識教學相比，應有其典型的方法。在過去，化工知識的教學一般都採用口頭講解的方法，現在大多數教師也是採用口頭講解的方法，這樣使得化工知識的教學乏味，學生對化工知識的學習缺乏興趣，又因重視雙基，輕實踐，學生對化工知識的學習可以說流於形式。由於多媒體的輔助教學的高效性、形象直觀性、新穎性和多樣性、人工模擬等特點，很適合化工知識的教學，應用多媒體教學化工知識可以解決目前存在的諸多問題，如：模型短缺、組織參觀活動困難、教育經費不足、學生不易觀察等。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。Based on the understand of modern mathematics conception which is a start of id, we integrate all sorts of id models, and probe into a kind of radical id model for adaptative mathematics cai software, and then we detailedly make descriptive or prescriptive id for the adaptive learning environment
基於對數學觀的認識這個出發點，我們整合各種教學設計理論模型，提出了適應性數學cai軟體教學設計的基本模型，並對適應性學習環境的各個部分詳細地作了描述性或處方性的教學設計。First, from the viewpoint of dissemination, the thesis analysis the relationship among the study contents, teaching target and medium in classroom teaching, recognize the important position of medium choice in teaching. on the basis of the theory, " the three dimension model of the content of course - target - medium choice ", put forward by professors li kedong, xie youru in beijing normal university, the thesis tries to establish the three dimension theory model in high school chemistry teaching to adapt to the teaching practice
首先從傳播學的角度，分析學習內容、教學目標、媒體在課堂教學中的關系，認識媒體的選擇在教學中的重要地位。在北京師范大學李克東、謝幼如教授等人提出的「教學內容-目標-媒體選擇三維模型理論」的基礎上，嘗試建立中學化學的三維理論模型，以適應化學學科的教學實際。Teachers are recognising and directing their attention to auditory learners, slow learners, visual learners and experiential learners, to name a few. drawing is an avenue to reach these students
現在老師們已能識別出:聽覺型，慢速型，視覺型和試驗動手型的各類學生，並有針對性地引導這些學生的注意力向其相適應的學習方式。Abstract : on the basis of the experimental data of microstructure and strength for gray cast iron with high carbon equivalent, the adapted fuzzy neural network model of relationship between microstructure and strength for predicting the strength of gray cast iron has been developed by using adaptive neural - fuzzy inference method. comparing with the models based on multiple statistic analysis, fuzzy regression or generalized regression neural network, it shows better learning precision and generalization
文摘:以高碳當量灰鑄鐵組織-強度實驗數據為基礎，用自適應模糊推理方法，建立了灰鑄鐵強度自適應模糊神經網路預測模型，與多元線性回歸、模糊回歸和廣義回歸神經網路模型相比，該模型學習精度高且具有較好的泛化性。分享友人