discovery learning theory 中文意思是什麼
discovery learning theory
解釋
發現學習論-
The first part is about discussing theories of inquiry learning, with the current situation of physics teaching, the author expounds the practical significance to change the old study mode of students and train students to put up inquiry learning, compares inquiry learning with reception learning, discusses the theoretical basis of inquiry learning, discovery learning of bruner, significance learning of ausubel and constructivism being the psychological basis, the theory of lifelong education and the theory of principal part being the pedagogical basis
第一部分是關于研究性學習的理論探討，從物理教學的現狀出發，闡述培養學生進行研究性學習的現實意義，將研究性學習與接受性學習作比較，闡明了研究性學習的理論基礎，布魯納的發現學習理論、奧蘇伯爾的有意義學習理論以及建構主義的學習理論是研究性學習的心理學基礎，終身教育理論、主體教育理論是研究性學習的教育學基礎。 -
The aims of this dissertation include : try to solve problems in rough set based knowledge discovery and machine learning ; build up knowledge model for complex industrial processes ; following the concepts and approaches of nonlinear system control, construct a control system framework based on rough state space ; apply rough set theory to fault detection and diagnosis ( fdd ). the main contributions of the dissertation are as follows : 1 reviewed the developments and research situation of rough set theory
本文的主要目的是試圖解決粗糙集在知識獲取、機器學習以及工業生產實際運用中所遇到一些主要問題，利用粗糙集在分析處理不完全、不精確和不一致數據中所具有的優勢，對復雜工業過程進行基於規則的非機理知識建模，在規則模型的基礎上，結合現代控制理論中的有關概念和方法，構造粗糙控制的初步框架，並將粗糙集方法運用於故障診斷。 -
The more work was to study learning and rule discovery theory of agent by applying the improved michigan method, and to analyze the method of agents how to gain the knowledge belief in the multi - agent environment in virtue of the multi - person game theory, as well as study the game tree structure of the agent ' s belief - desire - intention ( bdi ) model and agent how to decide
應用改進的密歇根法研究了主體的學習和規則發現的理論與應用，同時藉助多人博弈結構理論，分析了主體在多主體環境下知識信念的獲取方法，以及主體bdi模型的博弈樹結構和主體決策機制。
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