inductive learning 中文意思是什麼
inductive learning
解釋
歸納學習-
This article is composed of three parts, data collection, data filtering and machine learning. these three parts were assembled organically and enhanced the intelligence as far as it can at every point to improve on the traditionary word segmentation algorithm and inductive learnings
三個子系統通過知識庫有機的結合在一起，並盡可能地在系統的各個環節利用agent的思想提高智能化，並對傳統的分詞演算法，歸納學習演算法做了融合和改進。 -
Based on dom and inductive learning, the paper also present a novel approach to semi - automatically generate java classes which can be dominant part of a wrapper for web sources
以dom和歸納學習技術為基礎，設計了一種聲明型的表示方式來表達抽取規則。並根據抽取規則自動生成數據密集型web數據源包裝器的構件。 -
The inductive learning of operation semantics of words structure based on referring
基於參照的對詞結構操作語義的歸納學習 -
In designing a multi - structuring elements filter, combination rules and structuring elements of the morphological transform are determined automatically, and one kind of neural networks is taken for the filter, in optimzing structural parameters of the filter, three computation methods are designed respectively, by adopting some priori information in application fields to guide optimal structural parameter learning procedure, which are the bp adaptive learning algorithm, the heuristic genetic learning algorithm and the inductive simulated annealing learning algorithm
在多結構基元濾波器設計中，通過學習人-機交互選定的目標樣本，自動確定形態變換的組合規則及其結構元素，最終以神經網路形式構成濾波器。在結構參數的優化學習中，利用應用領域的先驗知識，分別設計了自適應bp學習、啟發式遺傳學習和引導式模擬退火學習等三種最優化計算方法。 -
The dissertation mainly aims at applying several active machine learning strategies to intrusion detection and systematically studies signal analysis techniques of intrusion detection based on statistical learning theory ( slt ), symbol inductive learning theory and genetic learning method. meanwhile, performance comparison and evaluation among intrusion detection techniques based on different machine learning strategies are presented according to computational learning theory and statistical hypothesis test methodology. intrusion detection is regarded as a pattern recognition problem in term of statistical learning theory ; i
本文的主要工作是將目前幾種有生命力的機器學習策略應用於入侵檢測技術中，論文從入侵檢測的不同視角出發，系統深入地研究了統計學習理論、基於符號的歸納學習理論和遺傳學習方法在入侵檢測信號分析中的應用技術，並在可能近似正確（ pac ）學習框架下，利用計算學習理論和統計假設檢驗方法對基於不同機器學習策略的入侵檢測方法進行了性能比較和評估。 -
In chapter 3, inductive learning generalization is improved by using statistical learning theory
第三章：用統計學習理論改善歸納學習的泛化能力。 -
Abstract : iterative learning control is an effective approach to the control of processes that are repetitive in nature. in this paper, an open - closed - loop pi - type iterative learning control scheme for the precise tracking control of a class of discrete nonlinear time - varying systems over a finite time interval is presented. the scheme updates control input with tracking errors of both current and last iterations simultaneously. sufficient and necessary conditions which guarantee the convergence of the scheme are given and then proved with inductive method. finally, the conditions are verified with simulation results
文摘:對于具有重復運動性質的對象，迭代學習控制是一種有效的控制方法.針對一類離散非線性時變系統在有限時域上的精確軌跡跟蹤問題，提出了一種開閉環pi型迭代學習控制律.這種迭代律同時利用系統當前的跟蹤誤差和前次迭代控制的跟蹤誤差修正控製作用.給出了所提出的學習控制律收斂的充分必要條件，並採用歸納法進行了證明.最後用模擬結果對收斂條件進行了驗證 -
I personally prefer an inductive approach, and i ' ve organized this book to suit that style of learning
我個人更喜歡歸納式，我已經按照那種學習風格組織本書。 -
With the deeper research of inductive learning, it ca n ' t meet the automatic acquisition of non - crisp knowledge because of its crisp description. it appears to be very important to research inductive learning in uncertainty condition and therefore the fuzzy extension of traditional id3 - fuzzy id3 is proposed
隨著歸納學習研究的深入，具有精確描述特徵的示例學習已不能適應一個系統中不精確知識自動獲取的要求，研究不確定環境中的示例學習已非常必要，進而產生了傳統id3演算法的模糊推廣? ?模糊id3演算法。 -
Induction learning of decision tree based on id3 algorithm is an important branch of inductive learning now, which can be used to automatic acquisition of knowledge
基於id3演算法的決策樹歸納學習是歸納學習的一個重要分支，可用於知識的自動獲取過程。
分享友人