With the social and economic development, there have been more abundant multimedia carriers. In this paper, based on elitist teaching-learning-based optimization algorithm, factors that affect quality of teaching are analyzed mainly from perspective teachers in terms philosophy, design level informatization teaching, application new models, evaluation effects, other aspects. The vocal music cla...

The aim of this paper is to detect bank credit cards related frauds. The large amount of data and their similarity lead to a time consuming and low accurate separation of healthy and unhealthy samples behavior, by using traditional classifications. Therefore in this study, the Adaptive Neuro-Fuzzy Inference System (ANFIS) is used in order to reach a more efficient and accurate algorithm. By com...

To enhance the performance of harmony search (HS) algorithm on solving the discrete optimization problems, this paper proposes a novel harmony search algorithm based on teaching-learning (HSTL) strategies to solve 0-1 knapsack problems. In the HSTL algorithm, firstly, a method is presented to adjust dimension dynamically for selected harmony vector in optimization procedure. In addition, four s...

OBJECTIVES The objective of this study was designed to investigate medical students' perceptions of small group teaching effectiveness in a hybrid curriculum. MATERIALS AND METHODS A cross-sectional, descriptive survey was conducted at the School of Medicine, The University of the West Indies, St. Augustine where we collected the data from 195 undergraduate students. A self-administered quest...

researchers of language teaching believe that teaching method has a lot of impact on the speed and depth of learning. the importance of this is so obvious on teaching some persian language structures which are syntactically and semantically complicated. one of these structures is conditional sentences which has been considered in this study. here we tried to teach conditional sentences via both...

Opposition-based learning was first introduced as a solution for machine learning; however, it is being extended to other artificial intelligence and soft computing fields including meta-heuristic optimization. It not only utilizes an estimate of a solution but also enters its counter-part information into the search process. The present work applies such an approach to Colliding Bodies Optimiz...