introduction: in this study, the authors aimed to examine the effects of cooperative learning methods using web quest and team-based learning on students’ self-direction, self-regulation, and academic achievement. methods: this is a comparative study of students taking a course in mental health and psychiatric disorders. in two consecutive years, a group of students were trained using the web q...

The aim of this study was to determine the effect of knowledge management capabilities and information technology capabilities on innovative performance with the mediating role of organizational entrepreneurship, organizational learning and competitive advantage. The research method is descriptive-survey. The statistical population consists of all employees of Shimifar Iran Company, and 137 peo...

Luminance variations are ambiguous: they can signal changes in surface reflectance or changes in illumination. Layer decomposition-the process of distinguishing between reflectance and illumination changes-is supported by a range of secondary cues including colour and texture. For an illuminated corrugated, textured surface the shading pattern comprises modulations of luminance (first order, LM...

Abstract Various leaning method of neural networks including supervised and unsupervised methods are presented and illustrated with examples. General learning rule as a function of the incoming signals is discussed. Other learning rules such as Hebbian learning, perceptron learning, LMS Least Mean Square learning, delta learning, WTA – Winner Take All learning, and PCA Principal Component Analy...

Background: Pedagogical knowledge management is the management of knowledge and experiences in teaching, assessment, learning theories, and classroom management, and other areas of education. An analytical study of the literature can be helpful in understanding the pedagogical knowledge management approach. Therefore, this study is aimed on research synthesis of the effectiveness of pedagogical...

The paper focuses on bio®lms subject to turbulent ̄ow and high liquid velocity (of the order of 1 m s) which can be found in heat exchangers, water distribution systems and in some wastewater reactors. An overall model describing bio®lm development is presented, which includes the effects of biomass detachment due to the hydrodynamic forces. A methodology for estimating substrate consumption fr...

Language model (LM) adaptation is needed to improve the performance of language-based interaction systems. There are two important issues regarding LM adaptation; the selection of the target data set and the mathematical adaptation model. In the literature, usually statistics are drawn from the target data set (e.g. cache model) to augment (e.g. linearly) background statistical language models,...

Decoding in a precompiled static network, compared with one in a dynamically managed network, is easier to implement and faster enough to yield a near real time response. However, when the recognition system handles a complex task, it has a problem of intensive memory usage. To overcome this weakness, we present a new decoding strategy that combines the advantages of static and dynamic network ...

This report describes a study project done at the Rudolf Magnus Institute (RMI) in the eld of neural network development. The goal of this study is to develop a neural network that is able to automatically classify rat behaviour from video. This project was started because of the great di erences in perception and classi cation of rat behaviour between human observers. Chapter 1 consists of a g...