• 전자공학회논문지C
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• 제34C권7호
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• pp.82-91
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• 1997

In this paper, we analyze the dynamics of langevine competitive learning neural network based on its fokker-plank equation. From the viewpont of the stochastic differential equation (SDE), langevine competitive learning equation is one of langevine stochastic differential equation and has the diffusin equation on the topological space (.ohm., F, P) with probability measure. We derive the fokker-plank equation from the proposed algorithm and prove by introducing a infinitestimal operator for markov semigroups, that the weight vector in the particular simplex can converge to the globally optimal point under the condition of some convex or pseudo-convex performance measure function. Experimental resutls for pattern recognition of the remote sensing data indicate the superiority of langevine competitive learning neural network in comparison to the conventional competitive learning neural network.

• 소성∙가공
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• 제30권4호
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• pp.186-194
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• 2021

Finite element simulation is a widely applied method for practical purpose in various metal forming process. However, in the simulation of elasto-plastic behavior of porous material or in crystal plasticity coupled multi-scale simulation, it requires much calculation time, which is a limitation in its application in practical situations. A machine learning model that directly outputs the constitutive equation without iterative calculations would greatly reduce the calculation time of the simulation. In this study, we examined the possibility of artificial intelligence based constitutive equation with the input of existing state variables and current velocity filed. To introduce the methodology, we described the process of obtaining the training data, machine learning process and the coupling of machine learning model with commercial software DEFROM^TM, as a preliminary study, via rigid plastic finite element simulation.

• 디지털융복합연구
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• 제6권1호
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• pp.83-91
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• 2008

The objective of this research is to assess various factors affecting E-learning in Korean language education. In this research, we hypothesize that several factors such as absorption, motivation and tutors increase the educational effects of E-learning and ultimately affect learning attitude and satisfaction of students in E-learning. To discuss the hypothesis, we analyzed survey data of 300 students who were taking E-learning class of Korean language for three weeks in October 2007 based on Structural Equation Model. The result of our analysis shows that the factors such as absorption, motivation, tutors have positive effects on E-learning in Korean language education and positive influence on learning attitude and satisfaction on students as well.

• 디지털융복합연구
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• 제6권2호
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• pp.145-155
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• 2008

The purpose of this research is to investigate the effects of the Cyber Home Learning Motivation Factors on its satisfaction and activation through surveying the actual conditions among the students present at a cyber home learning class. For this study, samples were collected around the end of a term from the students(300 in pilot test and 248 in main test) who were taking Cyber Home Lecture at high school level. Structural equation model by AMOS 5.0 was used to analyze the data. The result of our analysis is summarized as follows. First, the cyber home learning satisfaction has a positive effect on the cyber home learning activation. Second, the 4 factors of the cyber home learning motivation: relevancy, self-confidence and satisfaction has a positive effect on the cyber home learning satisfaction. But the factor 'attention' has no positive effect on the cyber home learning satisfaction. Therefore, the Good Cyber Home Learning Contents should provide the information quality which meets 3 conditions: relevancy, self-confidence and satisfaction.

• 인터넷정보학회논문지
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• 제10권1호
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• pp.135-143
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• 2009

본 연구의 목적은 블랜디드 러닝 학습 환경을 경험한 학습자를 대상으로 수업 만족에 영향을 주는 요인들을 탐색하고자 하였다. 이를 통하여 전통적 수업의 장점과 온라인 수업의 장점을 접목시킨 최근의 블랜디드 러닝 학습 환경을 대학 수업에 적용한 사례를 통해 학습자의 만족도와 관련 변인들과의 관계를 파악하고자 하였다. 연구대상은 '교육방법 및 교육공학'의 교직 수업에 참여하고 설문에 응답한 56명을 대상으로 하였다. 설문을 통하여 응답한 결과를 바탕으로 요인분석과 구조방정식 모델을 통해 학습동기, 사전경험, 정보활용능력, 자기조절학습능력, 학습만족도들 간의 관계를 탐색하였다. 연구결과 (a) '학습동기'와 (b) '사전경험'은 '자기조절학습능력'에 통계적으로 유의한 영향을 미치는 것으로 나타났다. 그리고 (c) '자기조절학습능력'은 '학습만족도'에 직접적으로 유의한 영향을 미치는 것으로 나타났다. 연구 결과를 바탕으로 수업만족도에 영향을 미치는 구조모델을 제안하였다.

• 농촌지도와개발
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• 제22권4호
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• pp.455-464
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• 2015

The purposes of this study are to explain and identify the frame of structural relations of learning orientation, self-efficacy, learning transfer and job performance of farmers who participated in the strong and small farms education. This is an experimental research with the data collected from 495 farmers who have taken the farm education. Based on the collected data, the study conducted a structural equation modeling(SEM) to confirm the validity and analyze the structural relations of the suggested model. Using measured and latent variables drew from the analyses, the study set a structural equation model and tested the model by analysis of the structural equation modeling with AMOS 18.0. The results found from the empirical analysis can be summarized as follows. 1) Learning orientation and self-efficacy positively influenced job performance through learning transfer. 2) The hypothesis that learning orientation would have direct impact on job performance was not supported. 3) The strong and small farms education is useful to expand learning transfer and to enhance job performance. So, government policy support has to reinforce learning support on farmers in order to achieve high performance of learning and job management through farm educations.

• 수산해양교육연구
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• 제24권6호
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• pp.935-949
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• 2012

The purpose of this study was to investigate the structural relationship among the self-efficacy, self-directed learning ability, school adjustment and learning flow in middle school students by the structural equation modeling analysis. The subjects of this study consisted of 553 middle school students. The data were analyzed with descriptive statistics, Pearson correlations and structural equation modeling analysis by using the SPSS 12.0 and AMOS 5.0 statistical program. The results of this study were as followed: First, there were significant correlations among the self-efficacy, self-directed learning ability, school adjustment and learning flow. Second, the self-directed learning ability and school adjustment directly affected the learning flow. Third, self-efficacy and school adjustment variables indirectly affected learning flow. The indices of the best fit model on these variable were adequate. This study shows that the self-efficacy, self-directed learning ability, school adjustment are the significant predictor for the learning flow during adolescent.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1996년도 Proceedings of the Korea Automatic Control Conference, 11th (KACC); Pohang, Korea; 24-26 Oct. 1996
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• pp.91-94
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• 1996

This paper presents an approach to estimation of learning gain in iterative learning control for discrete-time affine nonlinear systems. In iterative learning control, to determine learning gain satisfying the convergence condition, we have to know the system model. In the proposed method, the input-output equation of a system is identified by neural network refered to as Piecewise Linearly Trained Network (PLTN). Then from the input-output equation, the learning gain in iterative learning law is estimated. The validity of our method is demonstrated by simulations.

• 인터넷정보학회논문지
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• 제15권6호
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• pp.77-84
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• 2014

본 연구는 대학에서 이러닝을 활용 수업의 효과에 영향을 미치는 요인들을 탐색하고 요인들 간의 인과관계를 파악하고자 하였다. 이를 위해 2013년 2학기를 기준으로 이러닝 기반의 수업인 사이버 강의에 참여한 학생들 2,091명 중 유효했던 1,732명을 연구 대상으로 하였다. 연구방법은 확인적 요인분석과 구조방정식모형 분석을 활용하였다. 확인적 요인분석을 통해 이러닝 학습효과, 컨텐츠만족요인, 시스템기능요인, 운영지원요인의 네 개의 잠재변인을 도출할 수 있었다. 이들 잠재변인들 간의 구조방정식 모델 분석을 통한 결과는 다음과 같다. 첫째, 이러닝 학습효과와 관련된 주요 요인으로 컨텐츠 요인, 기능요인, 운영지원 요인으로 구분할 수 있었다. 둘째, 이러닝 학습효과에는 운영지원, 컨텐츠 요인이 직접적 영향을 미치는 것으로 나타났다. 하지만 기능요인은 유의하지 않은 것으로 나타났다. 셋째, 컨텐츠 요인에는 기능 및 운영요인이 유의한 영향을 미치는 것으로 나타났다. 넷째, 기능요인 및 운영지원요인은 컨텐츠 요인을 매개로하여 이러닝 학습효과에 간접적 영향을 미치는 것으로 나타났다.

• 통합자연과학논문집
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• 제4권2호
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• pp.158-165
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• 2011

Statistics by structural equation modeling techniques were used to assess a model of chemistry learning strategy based on performance goal orientation. In the optimal Model III of this research, Performance-approach goal was positively related to the use of learning strategy(p<.05) and achievement need(p<.05). Performance-avoidance goal was negatively related to learning strategy(p<.05) and was positively related to self-handicapping tendency(p<.15). Performance-approach goal affected learning strategy indirectly through achievement need(p<.05). Use of achievement need was positively related to learning strategy(p<.05) and self-handicapping tendency(p<.35). Self-handicapping tendency affected learning strategy negatively(p<.05). Implications of these findings for learning strategy in chemistry education are discussed.