rule learning 中文意思是什麼
rule learning
解釋
規則學習-
At the same time, astringency testifying was presented. algorithm a was obtained after modifying quasi - newton iterative learning rule with feedback
並對帶反饋的機械手類牛頓學習控制律（演算法a ）做了簡化，參考了tae - yongkue ， kwangheenamandjins -
Perceptron learning rule
感知器學習規則 -
To solve the problem of rule learning time cost for traditional transformation based part of speech tagging method of latin mongolian, a dynamic partition algorithm was presented
針對傳統基於轉換的詞性標注方法中規則學習速度過慢的問題提出了一種對訓練語料庫進行動態劃分的演算法。 -
Neural network control is an important mode of intelligent control, and it is widely used in branches of control science, first, the architecture and the learning rule ( error back propagation algorithm ) of multiplayered neural network which is widely used in control system are presentedo especially, the paper refers to the architecture of diagonal recurrent neural network and its learning algorithm - - - - - recurrent prediction error algorithm because of its faster convergence with low computing costo next, before introducing the neural network control to the double close loop dc driver system, the controllers of current and velocity loop are designed using engineering design approach after analysis of the system, simulation models of the system are created
神經網路控制是智能控制的重要方式之一，它廣泛應用於自動控制學科各個領域。本文首先敘述了控制系統中常用的多層前饋網路結構及演算法（ bp演算法） ，特別提及了能夠較好描述系統動態性能的對角遞歸神經網路和在用遞推預報誤差演算法訓練drnn時取得了較快的收斂速度。其次，應用工程方法分析設計了tf - 1350糖分離機的電流、轉速雙閉環直流調速系統的控制器，作為引入神經網路控制的設計基礎，並建立了系統的模擬模型。 -
Moreover, this article also made a preliminary discussion on the combination of neural network theory and the differential game guidance law. the bp model and rbf model and their corresponding learning algorithm were employed to design the neural network guiding rule based on the differential game guidance law
另外，本文還將神經網路理論與微分對策制導律相結合作了初步的探討，並結合具體的bp網路和rbf網路及其相應的學習演算法設計出了基於神經網路技術的微分對策制導律。 -
In rsdm, binary patterns are replaced by real - valued patterns, accordingly avoiding the coding process ; the outer learning rule is replaced by regression rule, therefore the model has not only the ability of pattern recognition but the ability of function approximation. the prearrangement of the address array bases on the distribution of patterns. if the distribution of patterns is uniform. then the address array is prearranged randomly, otherwise predisposed with the theory of genetic algorithm and the pruneing measure so as to indicate the distribution of patterns and improve the network performance. non - linear function approximation, time - series prediction and handwritten numeral recognition show that the modified model is effective and feasible
在rsdm中，以實值模式代替二值模式，避免了實值到二值的編碼過程：以回歸學習規則代替外積法，使該模型在具有識別能力的同時具有了對函數的逼近能力；地址矩陣的預置根據樣本的分佈採取不同方法，若樣本均勻分佈，則隨機預置，否則利用遺傳演算法的原理和消減措施來預置地址矩陣，使之反映樣本的分佈，改善網路的性能。 -
Due process and rule of law in institution of higher learning
正當法律程序與高校法治 -
Hi the aspect of symmetry analyzing to the hopfield model neural network with hebbian learning, we study on the dynamical behavior of the state space under the action of isometric transformation group g = z2 ? n, and prove the invariant property of the energy orientation ? / / " ) of the state space under the action of g. we find that the symmetry relationship of the network is sx - sw = sh when the active function of the neuron is odd, where sx is the symmetry of the patterns set x under hebbian learning rule, sh is the symmetry of the network and sw is the symmetry of the weight matrix w of the network
） s _ n為手段，研究了網路狀態空間在群g作用下各點的運動情況，證明了群g作用下的不變性。證明了當神經元的激活函數f為奇函數時， hebb法則下存儲樣本集x的對稱性s _ x 、網路對稱性s _ h以及連接矩陣對稱性s _ w三者之間滿足s _ x = s _ w = s _ h的關系；同時，我們還證明了：網路穩定態集vf同一s _ h軌道中的兩個穩定態的動力學行為（能量和吸引域大小）相同；兩個等距網路h和h 1 = g ? h ， （ ? ） g （ -
Design and application of a fuzzy classified rule based on learning from fuzzy examples
基於模糊示例學習的蠓蟲分類規則的設計 -
On memory rule and learning strategy of english words
記憶規律與英語詞匯學習策略探析 -
In view of adaptive learning for diagnostic images recognition, studying the theorem and the rule of art artificial neural network to learning and adaptive, provided an algorithm with a function of self - stability and classifier learning
摘要針對特徵圖像的自適應識別技術問題，研究了利用具有學習和自適應功能的art人工神經網路原理及規則，提出了具有自穩定適應和分類學習功能的演算法。 -
The kanerva ' s sparse distributed memory ( sdm ) tackles the problem of training large data patterns and extendes the storage mode of existing computer. but it ' s address array produced randomly ca n ' t reveal the distribution of patterns and it has ' t the ability of function approximation for its learning rule
Kanerva的稀疏分佈存儲（ sdm ）模型解決了大維數樣本的訓練問題，推廣了現有計算機的存儲方式。但其地址矩陣的隨機預置方式不能反映樣本的分佈，並且sdm的學習方式使之不能用於函數逼近及時間序列預測問題。 -
We have used a theoretical " learning rule, " devised to account for experience - dependent shifts in neuronal selectivity, to guide experiments on the elementary mechanisms of synaptic plasticity in hippocampus and neocortex
實驗解果顯示，許多大腦海馬回與新皮質突觸可進行雙向性改變，且此變化可長達幫助長期記憶儲存的功能。 -
According to the findings, this article suggested that in the high school english teaching, the teacher should fully using this rule of acquiring incidental vocabulary in english reading, and combine the intentional and incidental learning at the same time ; through the suitable way to strengthen, it will not only make the student grasp deeply of vocabulary requested in the new curriculum standard, but will also enlarge the vocabulary
根據研究結果，本文建議在高中英語教學中，教師應充分利用閱讀附帶習得詞匯這一規律，有機將附帶習得詞匯和有意學習結合起來，通過適當增強方式加以強化，是學生不僅加強對新課程標準中所要求詞匯的深層掌握，而且進一步擴大詞匯量。 -
His recent research finds that older learners have an advantage over the very young in learning rule - governed aspects of the language
他最近的研究發現在學習語言的有規則的方面，年齡較大的學習者比年齡非常小的有優勢。 -
The degree of propriety of a compound should be measurable. in this paper, we focus our attention on the rule learning of the second type of unknown words only. their morphological representation and the measurement for the propriety are studied
本論文將重心放在這類型的復合詞上，我們提出以語法語意及統計機率關系表達開放型未知詞組合成分的構詞律模型，這個模型用來表達及測度復合詞的結構合理程度。 -
This thesis concentrates its research mainly on the method of rule learning base on bp neural network which definition of rules are combined the web pages ’ features of path, left / right boundary and semantic
本文的工作重點是基於bp神經網路的規則學習方法，規則的表示結合網頁的路徑特徵、左右邊界特徵和語義特徵來定義。 -
A rule learning algorithm based on neural network ensemble
一種基於神經網路集成的規則學習演算法 -
And generating simple and strong rules which can used by information extraction module through rule learning arithmetic after training
訓練結束后，根據規則學習演算法學習生成簡單、健壯的規則庫，以供信息抽取模塊使用。 -
It including several knowledge repositories as well as three modules of web pages preprocessor, rule learning and information extraction, describing the web pages by four sides : semantic content display, logic structure, rule generation and extraction results
系統包括幾個知識庫以及網頁預處理、規則學習和信息抽取三個子模塊，分別從語義內容表示、邏輯結構、規則生成以及抽取結果四個層面對web頁面進行描述。
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