Results 11 to 20 of about 49,842 (269)

The ability of forecasting flapping frequency of flexible filament by artificial neural network

Alexandria Engineering Journal, 2019
Artificial Neural Networks (ANNs) are reliable and computationally inexpensive compared to numerical methods such as CFD simulations and experimental investigations in aerodynamics research.
M. Fayed, M. Elhadary, H. Ait Abderrahmane, Bassem Nashaat Zakher   +3 more
doaj   +1 more source

Monthly rainfall forecasting modelling based on advanced machine learning methods: tropical region as case study

Engineering Applications of Computational Fluid Mechanics, 2023
Existing forecasting methods employed for rainfall forecasting encounter many limitations, because the difficulty of the underlying mathematical proceeding in dealing with the patterning and imitation of rainfall data.
Mohammed Falah Allawi, Uday Hatem Abdulhameed, Ammar Adham, Khamis Naba Sayl, Sadeq Oleiwi Sulaiman, Majeed Mattar Ramal, Mohsen Sherif, Ahmed El-Shafie   +7 more
doaj   +1 more source

Comparison Of Artificial Neural Network and Decision Tree Methods for Predicting the Maternal Outcome in A Tertiary Care Hospital in Odisha, India

National Journal of Community Medicine, 2022
Background: This study used an artificial neural network (ANN) and a decision tree to predict maternal outcomes and their major determinants. An artificial neural network (ANN) and a decision tree were used in this study to determine maternal outcomes ...
Nihar Ranjan Panda, Jitendra Kumar Pati, Tapasi Pati, Soumya Satpathy, Ruchi Bhuyan   +4 more
doaj   +1 more source

Using Artificial Neural Networks (ANN) to Control Chaos

Libyan Journal for Engineering Research, 2017
Controlling Chaos could be a big factor in getting great stable amounts of energy out of small amounts of not necessarily stable resources. By definition, Chaos is getting huge changes in the system’s output due to unpredictable small changes in initial conditions, and that means we could take advantage of this fact and select the proper control system
Ibrahim Ighneiwaa, Salwa Hamidatoua, Fadia Ben Ismaela   +2 more
openaire   +2 more sources

Enhancement of Performance for Steam Turbine in Thermal Power Plants Using Artificial Neural Network and Electric Circuit Design

Applied Computational Intelligence and Soft Computing, 2018
Design and implantation of electric circuit for enhanced performance of steam power plant and artificial neural networks technique are used to control turbine. Artificial neural networks technique is used to control a lot of industrial models practically.
Hosham Salim, Khalid Faisal, Raheel Jawad   +2 more
doaj   +1 more source

SOFTWARE IMPLEMENTATION OF THE ARTIFICIAL NEURAL NETWORK FOR VIRTUAL OBJECTS СONTROL

Системный анализ и прикладная информатика, 2018
Artificial neural networks (ANN) are now widely used in control and forecasting problems. The purpose of this work is the implementation of an artificial neural network for virtual objects control in a computer game of football.
Yu. B. Popova, S. V. Yatsynovich
doaj   +1 more source

FORECASTING KUALA LUMPUR COMPOSITE INDEX: EVIDENCE OF THE ARTIFICIAL NEURAL NETWORK AND ARIMA

Jurnal Ekonomi dan Bisnis Airlangga, 2007
The aim of this paper is to use, compare, and analyze two forecasting technique: namely Auto Regressive Integrated Moving Average(ARIMA) and Artificial Neural Network(ANN) using Kuala Lumpur Composite Index(KLCI) in Malaysia.
Raditya Sukmana, Mahmud Iwan Solihin
doaj   +1 more source

Egg hatchability prediction by multiple linear regression and artificial neural networks

Brazilian Journal of Poultry Science, 2008
An artificial neural network (ANN) was compared with a multiple linear regression statistical method to predict hatchability in an artificial incubation process. A feedforward neural network architecture was applied.
AC Bolzan, RAF Machado, JCZ Piaia
doaj   +1 more source

The Use of Graph Databases for Artificial Neural Networks

Journal of Advanced Research in Natural and Applied Sciences, 2021
Storing and using trained artificial neural network (ANN) models face technical difficulties. These models are usually stored as files and cannot be run directly. An artificial neural network can be structurally expressed as a graph.
Ahmet Cumhur Kınacı, Doğa Barış Özdemir   +1 more
doaj   +1 more source

Artificial Neural Network (ANN) to Predict Mathematics Students’ Performance

Journal of Computing Research and Innovation, 2022
Predicting students’ academic performance is very essential to produce high-quality students. The main goal is to continuously help students to increase their ability in the learning process and to help educators as well in improving their teaching skills. Therefore, this study was conducted to predict mathematics students’ performance using Artificial
Norpah Mahat, Nor Idayunie Nording, Jasmani Bidin, Suzanawati Abu Hasan, Teoh Yeong Kin   +4 more
openaire   +3 more sources