โ Scribed by A.Y. Abdelaziz; M.R. Irving; A.M. El-Arabaty; M.M. Mansour
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
This paper presents a novel technique based on artificial neural networks (ANNs) for prediction of gas metal arc welding parameters. Input parameters of the model consist of gas mixtures, whereas, outputs of the ANN model include mechanical properties such as tensile strength, impact strength, elong
In recent years artificial neural networks (ANNs) have been applied to many geotechnical engineering problems with some degree of success. With respect to the design of pile foundations, accurate prediction of pile settlement is necessary to ensure appropriate structural and serviceability performan
This study presents an approach using artificial neural networks (ANN) algorithm for predicting the flutter derivatives of rectangular section models without wind tunnel tests. Firstly, a database of flutter derivatives is identified from a back-propagation (BP) ANN model that is built using experim
The demand for organs transplantation has becoming a major issue worldwide. Transplantation of organs from brain-dead individuals has evolved as the treatment of choice for many patients with end-stage organ disease, but shortage of available donors limits solid-organ transplantation (Rosendale et a