Results 11 to 20 of about 254,846 (297)

Evaluation and Improvement Performance of a Boiler in a Thermal Power Plant Using Artificial Neural Network [PDF]

Engineering and Technology Journal, 2018
This research aims to avoid damage in power plant boiler steam generation by using Artificial Neural Network techniques (ANN) to improve the boiler performance. The training and testing using ANN by Back Propagation (BP) algorithm.
Hosham Anead, Khaliid Sultan, Raheel Abd-Kadhum   +2 more
doaj   +1 more source

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

Detection of Heart Valve Function Disorders with Artificial Neural Network (ANN) Algorithm [PDF]

, 2022
Heart disease insidents has generated mortalities at a young age, hindering the occurrence of the 2045 golden generation as one of the determining factors for the occurrence of advanced Indonesia.
Alfarisyi, Bara, Faruq, Amrul, Irfan, Muhammad   +2 more
core   +1 more source

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

An Integrative Remote Sensing Application of Stacked Autoencoder for Atmospheric Correction and Cyanobacteria Estimation Using Hyperspectral Imagery [PDF]

, 2020
Hyperspectral image sensing can be used to effectively detect the distribution of harmful cyanobacteria. To accomplish this, physical- and/or model-based simulations have been conducted to perform an atmospheric correction (AC) and an estimation of ...
Baek, Sangsoo, Cha, YoonKyung, Cho, Kyung Hwa, Duan, Hongtao, Kang, Taegu, Kim, Kyunghyun, Kim, Minjeong, Kwon, Yong Sung, Lee, Hyuk, Ligaray, Mayzonee, Pyo, JongCheol   +10 more
core   +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

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