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Analysis of Artificial Neural Network: Architecture, Types, and Forecasting Applications

Journal of Electrical and Computer Engineering, 2022
The artificial neural network reduces humanity and society’s burden to solve complex problems highly efficiently. Artificial neural networks resemble brain activities based on the acquired training samples used for various applications such as ...
Manogaran Madhiarasan, Mohamed Louzazni
doaj   +2 more sources

Application of artificial neural network to search for gravitational-wave signals associated with short gamma-ray bursts [PDF]

, 2015
We apply a machine learning algorithm, the artificial neural network, to the search for gravitational-wave signals associated with short gamma-ray bursts.
Kyungmin Kim, I. W. Harry, Kari Hodge, Y.-M. Kim, Chang‐Hwan Lee, Hyun Kyu Lee, J. J. Oh, S. H. Oh, Edwin J. Son   +8 more
openalex   +6 more sources

Application of an artificial neural network (ANN) simulator to increase the operational efficiency of a roadheader. [PDF]

Sci Rep
Cheluszka P, Głuszek G, Rostami J.
europepmc   +3 more sources

Comparison of Novel Recurrent Neural Network Over Artificial Neural network in Predicting Email spammers with improved accuracy [PDF]

E3S Web of Conferences, 2023
The main aim is to compare Novel Recurrent Neural Network over Artificial Neural Network in predicting Email spammers with improved accuracy. Material and Methods : This research study contains two groups namely Novel Recurrent Neural Network and ...
Neeharika Chillakuru, Kalaiarasi S.
doaj   +1 more source

Applications of artificial neural networks in microorganism image analysis: a comprehensive review from conventional multilayer perceptron to popular convolutional neural network and potential visual transformer [PDF]

Artificial Intelligence Review, 2021
Microorganisms are widely distributed in the human daily living environment. They play an essential role in environmental pollution control, disease prevention and treatment, and food and drug production.
Jinghua Zhang, Chen Li, Yi Yin, Jiawei Zhang, Marcin Grzegorzek   +4 more
semanticscholar   +1 more source

Improved Artificial Neural Network with State Order Dataset Estimation for Brain Cancer Cell Diagnosis

BioMed Research International, 2022
Brain cancer is one of the cell synthesis diseases. Brain cancer cells are analyzed for patient diagnosis. Due to this composite cell, the conceptual classifications differ from each and every brain cancer investigation.
D. Indira, Rajendra Kumar Ganiya, P. Ashok babu, Jasmine Xavier, L. Kavisankar, S. Hemalatha, V. Senthilkumar, T. Kavitha, A. Rajaram, Karthik Annam, A. Yeshitla   +10 more
semanticscholar   +1 more source

Optimized multi layer perceptron artificial neural network based fault diagnosis of induction motor using vibration signals

Diagnostyka, 2021
Installations and the detection of their faults has become a major challenge. In order to develop a reliable approach for monitoring and diagnosis faults of these components, a test rig was mounted.
Khoualdia Tarek, lakehal Abdelaziz, Chelli Zoubir, Khoualdia Kais, Nessaib Karim   +4 more
doaj   +1 more source

Stock Market Index Prediction Using Artificial Neural Network

Journal of Information Technology Research, 2022
Often, nonlinearity exists in the financial markets while Artificial Neural Network (ANN) could be used to expect equity market returns for the next years.
F. Al-akashi
semanticscholar   +1 more source

Artificial Neural Network

ACM SIGSPATIAL International Workshop on Advances in Geographic Information Systems, 2020
: An Artificial Neural Network (ANN) is an information processing paradigm that is inspired by the biological nervous systems, such as the brain, which process information.
Satchidananda Dehuri, Susmita Ghosh, Sung-Bae Cho   +2 more
semanticscholar   +1 more source

An artificial neural network for analysis of ionograms obtained by ionosonde at the Ukrainian Antarctic Akademik Vernadsky station

Український антарктичний журнал, 2020
The article presents the developed artificial neural network for F2 ionosphere layer traces scaling on ionograms obtained using the IPS-42 ionosonde installed at the Ukrainian Antarctic Akademik Vernadsky station.
O. Bogomaz, M. Shulha, D. Kotov, A. Koloskov, A. Zalizovski   +4 more
doaj   +1 more source