Network Data Modeling via Grammatical Structures
نویسنده
چکیده
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . xiii
منابع مشابه
Modelling of Conventional and Severe Shot Peening Influence on Properties of High Carbon Steel via Artificial Neural Network
Shot peening (SP), as one of the severe plastic deformation (SPD) methods is employed for surface modification of the engineering components by improving the metallurgical and mechanical properties. Furthermore artificial neural network (ANN) has been widely used in different science and engineering problems for predicting and optimizing in the last decade. In the present study, effects of conv...
متن کاملExperimental Study of Masonry Structure Under Impact Loading and Comparing it with Numerical Modeling Results via Finite Element Model Updating
Given the sophisticated nature of the blast phenomenon in relation to structures, it is of significance to accurately investigate the structure behavior under blast loads. Due to its rapid and transient nature, blast loading is one of the most important dynamic loadings on the structures. Since masonry materials are widely used as the partition and bearing walls in the existing and newly-built ...
متن کاملGender-Based investigation of the Syntactic Development of Iranian EFL Learners: A Focus on Processabilty Theory
Pienemann (1998, 2015) put forward Processability Theory to enlighten why language learners follow definite developmental paths. The aim of the present study was to run a comparative investigation into the difficulty order of different grammatical structures for male and female Iranian EFL learners predicted by Processability Theory. 185 Iranian university students took part in this study. They...
متن کاملPrediction of the Effect of Polymer Membrane Composition in a Dry Air Humidification Process via Neural Network Modeling
Utilization of membrane humidifiers is one of the methods commonly used to humidify reactant gases in polymer electrolyte membrane fuel cells (PEMFC). In this study, polymeric porous membranes with different compositions were prepared to be used in a membrane humidifier module and were employed in a humidification test. Three different neural network models were developed to investigate several...
متن کاملModeling & Comparison of Mechanical Behavior of Foam Filled & Hollow Aluminum Tubes by LS-DYNA & Introducing a Neural Network Model
Energy absorption capability of thin-walled structures with various cross sections has been considered by researchers up to now. These structures as energy absorbers are used widely in different industries such as automotive and aerospace and protect passengers and goods against impact. In this paper, mechanical behavior of thin-walled aluminum tubes with and without polyurethane foam filler su...
متن کامل