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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

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
openaire   +2 more sources

Utilization of Artificial Neural Network [PDF]

ARCHive-SR, 2018
Artificial neural networks (NN), have been applied to many construction management problems in urban projects. NN have showed some degree of success so the objective of this paper is to highlight some applications of this tool in the construction ...
Sherif Mohamed Hafez
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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, M. 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

Algorithm of artificial neural network architecture and training set size configuration within approximation of dynamic object behavior [PDF]

Компьютерные исследования и моделирование, 2015
The article presents an approach to configuration of an artificial neural network architecture and a training set size. Configuration is based on parameter minimization with constraints specifying neural network model quality criteria.
Aleksandr Georgievich Shumixin, Anna Sergeevna Boyarshinova   +1 more
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Prediksi Penyakit Ginjal Kronis Menggunakan Hibrid Jaringan Saraf Tiruan Backpropagation dengan Particle Swarm Optimization

Journal of Innovation Information Technology and Application, 2021
The number of Chronic Kidney Disease patient increased year by year while it doesn’t following by sufficient human resources and infrastructure needs the information of Chronic Kidney Disease patient prediction.
Sheren Afryan Tyastama, Tri Ginanjar Laksana, Amalia Beladina Arifa   +2 more
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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