Results 71 to 80 of about 2,089,547 (271)
An approach based on gamma-ray transmission technique and artificial neural network for accurately measuring the thickness of various materials [PDF]
Nuclear Technology and Radiation ProtectionThis paper presents an approach based on the gamma-ray transmission technique and artificial neural network for accurately measuring the thickness of various materials in flat sheet form.
Trang Le Thi Ngoc +4 more
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Gating Artificial Neural Network Based Soft Sensor [PDF]
, 2008 This work proposes a novel approach to Soft Sensor modelling, where the Soft Sensor is built by a set of experts which are artificial neural networks with randomly generated topology.
Gabrys, Bogdan, Kadlec, Petr
core
Applied Sciences, 2023 In recent years, artificial neural networks have been widely used in the fault diagnosis of rolling bearings. To realize real-time diagnosis with high accuracy of the fault of a rolling bearing, in this paper, a bearing fault diagnosis model was designed
Xiaobei Liang +3 more
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Overview of artificial neural network models in the biomedical domain.
Bratislava Medical Journal, 2019 AIM The aim of this paper is to provide an overview of artificial neural network (ANN) in biomedical domain and compare it with the logistic regression model.
Biomedical Modeling, V. Renganathan
semanticscholar +1 more source
Diabetes Prediction Using Artificial Neural Network [PDF]
, 2018 Diabetes is one of the most common diseases worldwide where a cure is not found for it yet. Annually it cost a lot of money to care for people with diabetes. Thus the most important issue is the prediction to be very accurate and to use a reliable method
Abu-Naser, Samy S. +1 more
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Developing Artificial Neural Network Based on Visual Studio for Dance Assessment
Jurnal Pendidikan Teknologi dan Kejuruan, 2017 The dance assessment test still uses a manual system that tend to have frequent errors in the calculation for the final results thus it requires a system that accelerate the assessment process with an accurate result.
Febri Suci Rahmahwati, Fatchul Arifin
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Artificial Neural Network: Understanding the Basic Concepts without Mathematics
Dementia and Neurocognitive Disorders, 2018 Machine learning is where a machine (i.e., computer) determines for itself how input data is processed and predicts outcomes when provided with new data. An artificial neural network is a machine learning algorithm based on the concept of a human neuron.
Su-Hyun Han +3 more
semanticscholar +1 more source
Perspective: Spintronic synapse for artificial neural network
Journal of Applied Physics, 2018 While digital integrated circuits with von Neumann architectures, having exponentially evolved for half a century, are an indispensable building block of today's information society, recently growing demand on executing more complex tasks like the human ...
S. Fukami, H. Ohno
semanticscholar +1 more source
An application and modelling on the artificial neural network to the RHV Tube [PDF]
Revista Română de Informatică și AutomaticăArtificial neural networks represent highly advanced and adaptable tools for addressing challenges, attributed to their capacity for learning through examples and forming generalisations.
Murat Eray KORKMAZ
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