Results 11 to 20 of about 6,534,602 (244)

Forecasting Nasdaq stock exchange time series using an improved recurrent spiking Pi-Sigma artificial neural network [PDF]

open access: yesScientific Reports
Due to their flexible model structures and their success in nonlinear modelling, artificial neural networks provide good alternatives for solving the forecasting problem.
Erol Egrioglu, Eren Bas, Gulsen Albayrak
doaj   +2 more sources

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

open access: yesE3S 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

Medical imaging analysis with artificial neural networks [PDF]

open access: yes, 2010
Given that neural networks have been widely reported in the research community of medical imaging, we provide a focused literature survey on recent neural network developments in computer-aided diagnosis, medical image segmentation and edge detection ...
Jiang, J., Ren, Jinchang, Trundle, P.
core   +4 more sources

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

open access: yesDiagnostyka, 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   +4 more
doaj   +1 more source

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

open access: yesJournal 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   +1 more source

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

open access: yesУкраїнський 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   +4 more
doaj   +1 more source

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

open access: yesJurnal 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   +3 more
doaj   +1 more source

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

open access: yesКомпьютерные 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   +1 more
doaj   +1 more source

Artificial neural network control strategies for fuel cell hybrid system [PDF]

open access: yes, 2013
The greening of air transport is the driver for developing technologies to reduce the environmental impact of aviation with the aim of halving the amount of carbon dioxide (COଶ) emitted by air transport, cutting specific emissions of nitrogen oxides ...
Oheda, Hakim
core   +7 more sources

Prediksi Penyakit Ginjal Kronis Menggunakan Hibrid Jaringan Saraf Tiruan Backpropagation dengan Particle Swarm Optimization

open access: yesJournal 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   +2 more
doaj   +1 more source

Home - About - Disclaimer - Privacy