• 한국정보시스템학회지:정보시스템연구
• /
• 제17권1호
• /
• pp.83-111
• /
• 2008

The purpose of this study is to identify which factors are important for learning performance and the moderating effects of self-regulated factors such as elaboration and organization between users characteristic(perceived usefulness, preparatory education, internet experience) and learning performance. To Accomplish these research purpose, this study performed a survey and 173 response were used for statistical analysis. The results of this study are as follows: First, 7 factors(ease of use, interactivity, accuracy, media richness, perceived usefulness, preparatory education, internet experience) had significant impacts on learning performance whereas reliability did not. Second, the moderating effects of self-regulated factors showed that Elaboration of self-regulated factors can be considered as a significant moderating variable between 2 factors(perceived usefulness, internet experience) and teaming performance.

• 한국정보시스템학회지:정보시스템연구
• /
• 제17권3호
• /
• pp.1-24
• /
• 2008

This study empirically investigated the relationships among inter-organizational contextual factors(assets specificity, long-term orientation and interdependence), information exchange between trading partners, inter-organizational loaming and trust, and inter-organizational performance. In this study, types of information exchanged between trading firms are classified into two broad kinds: transaction information and management information. from empirical results, we found that inter-organizational contextual factors have a greater positive impact on the exchange of management information. It is also observed that the exchange of information positively influences inter-organizational trust and loaming. finally, the results of this study showed that inter-organizational trust and teaming have positive effects on the improvement of inter-organizational performance. Thus, it is concluded that the amount of information exchanged according to the conditions of inter-organizational contextual factors gives rise to inter-organizational teaming and high levels of trust, and high levels of trust and learning contribute to the increase of inter-organizational performance.

• 지능정보연구
• /
• 제7권1호
• /
• pp.47-61
• /
• 2001

사례기반 추론과 같은 사후학습 기법은 인공신경망이나 의사결정나무와 같은 사전학습 기법에 비해서 여러 장점을 가지고 있다. 하지만, 사후학습 기법은 사례 표현에 관련성이 적은 속성이 포함된 경우에는 성능이 저하되는 단점을 가지고 있다. 이러한 단점을 극복하기 위해서, 속성 가중치 부여 방법들이 연구되었다. 기존의 속성 가중치 부여 방법들은 대부분 전역적으로 속성 가중치를 부여하는 것이었다. 본 연구에서는 새로운 지역적 속성 가중치 부여 방법인 CBDFW를 제안한다. CBDFW 기법은 무작위로 생성된 속성 가중치들의 분류 성공 여부를 저장하고 있다가, 새로운 사례가 주어졌을 때에 성공적인 분류 결과를 보인 가중치들을 검색하여 동적으로 새로운 가중치들을 생성해낸다. 신용평가 데이터로 CBDFW의 성능을 실험한 결과, 기존의 연구들에서 제시된 분류 적중률보다 우수한 성능을 보였다.

• 한국지능시스템학회:학술대회논문집
• /
• 한국퍼지및지능시스템학회 2006년도 춘계학술대회 학술발표 논문집 제16권 제1호
• /
• pp.381-384
• /
• 2006

Self Organizing Map(SOM) is a powerful neural network model for unsupervised loaming. In many clustering works with exploratory data analysis, it has been popularly used. But it has a weakness which is the poorly theoretical base. A lot more researches for settling the problem have been published. Also, our paper proposes a method to overcome the drawback of SOM. As compared with the presented researches, our method has a different approach to solve the problem. So, a hybrid SOM is proposed in this paper. Using Monte Carlo computing, a hybrid SOM improves the performance of clustering. We verify the improved performance of a hybrid SOM according to the experimental results using UCI machine loaming repository. In addition to, the number of clusters is determined by our hybrid SOM.

• 한국수학교육학회지시리즈C:초등수학교육
• /
• 제3권1호
• /
• pp.37-45
• /
• 1999

This paper investigates the comparative effectiveness of two kinds of instructional methods in transfer of mathematics learning: one based on the situated cognition, ie. situated learning and the other based on traditional learning. Two classes of second graders studied the instruction about 3-digit addition and subtraction. After that, they completed two written tests and a real situation test. As a result. no significant differences were found between the two group's performance on the written test 1 and real situation test. But the situated learning group performed significantly better on the performance of story problem than traditional group. This result indicated that the situated learning made improvement in transfer of mathematic loaming. As a result of interviews with 12 children, the situated loaming group's children were able to use contextual resources in solving real situation as well as story problems.

• 한국조명전기설비학회:학술대회논문집
• /
• 한국조명전기설비학회 2009년도 춘계학술대회 논문집
• /
• pp.416-419
• /
• 2009

The widely used control theory based design of PI family controllers fails to perform satisfactorily under-parameter variation, nonlinear or load disturbance. In high performance applications, it is useful to automatically extract the complex relation that represent the drive behaviour. The use of loaming through example algorithms can be a powerful tool for automatic modelling variable speed drives. They can automatically extract a functional relationship representative of the drive behavior. These methods present some advantages over the classical ones since they do not rely on the precise knowledge of mathematical models and parameters. The paper proposes high performance speed and current control of synchronous reluctance motor(SynRM) drive using adaptive loaming mechanism-fuzzy neural network (ALM-FNN) and fuzzy logic control(FLC) controller. The proposed controller is developed to ensure accurate speed and current control of SynRM drive under system disturbances and estimation of speed using artificial neural network(ANN) controller. Also, this paper proposes the analysis results to verify the effectiveness of the ALM-FNN and ANN controller.

• 한국정보통신학회논문지
• /
• 제8권2호
• /
• pp.464-470
• /
• 2004

본 논문에서는 역전파 알고리즘의 성능 개선을 위해 퍼지 제어 시스템을 적용하여 학습률을 자동으로 조정하는 개선된 역전파 알고리즘을 제안한다. 제안된 방법은 목표값과 출력값의 차이에 대한 절대값이 $\varepsilon$ 보다 적거나 같으면 정확성으로 분류하고 크면 부정확성으로 분류한다. 정확성과 부정확성의 개수를 퍼지 제어 시스템에 적용하여 학습률을 동적으로 조정한다. 제안된 방법을 XOR 문제와 숫자 패턴 분류에 적용하여 실험한 결과, 기존의 역전파 알고리즘, 모멘텀 방식, Jacob의 delta-bar-delta 방식보다 성능이 개선됨을 확인하였다.

• 기술사
• /
• 제29권2호
• /
• pp.71-79
• /
• 1996

This paper evaluates the clustering performance of a neural network and a statistical method. Algorithms which are used in this paper are the GLVQ(Generalized Loaming vector Quantization) for a neural method and the k -means algorithm for a statistical clustering method. For comparison of two methods, we calculate the Rand's c statistics. As a result, the mean of c value obtained with the GLVQ is higher than that obtained with the k -means algorithm, while standard deviation of c value is lower. Experimental data sets were the Fisher's IRIS data and patterns extracted from handwritten numerals.

• 한국정밀공학회:학술대회논문집
• /
• 한국정밀공학회 1996년도 추계학술대회 논문집
• /
• pp.994-998
• /
• 1996

We propose an approach to integrating fuzzy logic control with RBF(Radial Basis Function) networks and show how the integrated network can be applied to multivariable self-organizing and self-learning fuzzy controller. Using the hybrid learning algorithm. To investigate its usefulness and performance, this controller is applied to a time-delayed process system. Simulation results show good control performance and fast convergency in hybrid loaming method.

• 한국수학교육학회지시리즈A:수학교육
• /
• 제40권1호
• /
• pp.67-75
• /
• 2001

Since performance assessment was introduced in Korea in the middle of 1990, many problems which include its definition, characters, methods and scorings etc., raised in mathematics education worlds. Therefore this paper presents the theoretical background of performance assessment in mathematics education. Contemporary teaching and loaming theories reject stimulus-response theory which emphasizes outcome. Performance assessment emphasizes the assessment which reveal learning process and various strategies. And it bases on constructivism and socio-cultural perspective. This paper presents paradigms which guide the roles and purposes of assessment. The paradigms include conventional paradigm, constructivist paradigm and critical paradigm. There is a close correlation between constructivist paradigm and performance assessment. Assessment has to grasp the development of present and the possibility of development of future of the students. Performance assessment must be fixed the new paradigm of education for this purpose.