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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.
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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
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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
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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
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METODE KOMPARASI ARTIFICIAL NEURAL NETWORK PADA PREDIKSI CURAH HUJAN - LITERATURE REVIEW

Jurnal Tekno Insentif, 2020
Abstrak - Penelitian untuk mencari model prediksi curah hujan yang akurat di berbagai bidang sudah banyak dilakukan, maka dilakukan di-review kembali guna membantu proses penyaliran dalam perusahaan tambang.
Herlina Jayadianti, Tedy Agung Cahyadi, Nur Ali Amri, Muhammad Fathurrahman Pitayandanu   +3 more
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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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Use of Artificial Neural Networks to Predict Wind-Induced External Pressure Coefficients on a Low-Rise Building: A Comparative Study

Advances in Civil Engineering, 2022
Wind flow on a bluff body is a complex and nonlinear phenomenon that has been mainly studied experimentally or analytically. Several mathematical methods have been developed to predict the wind-induced pressure distribution on bluff bodies; however, most
Josué U. Rodríguez-Alcántara, Adrián Pozos-Estrada, Roberto Gómez-Martinez   +2 more
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Prediction of Ultimate Bearing Capacity of Skirted Footing Resting on Sand Using Artificial Neural Networks [PDF]

Journal of Soft Computing in Civil Engineering, 2018
The paper presents the prediction of ultimate bearing capacity of different regular shaped skirted footing resting on sand using artificial neural network.
Rakesh Dutta, Radha Rani, Tammineni Gnananandarao   +2 more
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Study on factor-state artificial neural network model for water quality prediction

浙江大学学报. 农业与生命科学版, 2000
Research on factor neural network theory led to factor-state BP artificial neural network. Combination of informative diffusion with falling shadow technique forms information diffusion falling shadow technique together with factor BP artificial neural ...
GUO Zong-lou, SHEN Wei
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