Results 101 to 110 of about 2,089,547 (271)
House Price Prediction: Hedonic Price Model vs. Artificial Neural Network [PDF]
The objective of this paper is to empirically compare the predictive power of the hedonic model with an artificial neural network model on house price prediction.
Limsombunchai, Visit
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Lung Cancer Detection Using Artificial Neural Network [PDF]
, 2019 In this paper, we developed an Artificial Neural Network (ANN) for detect the absence or presence of lung cancer in human body. Symptoms were used to diagnose the lung cancer, these symptoms such as Yellow fingers, Anxiety, Chronic Disease, Fatigue ...
Abu-Naser, Samy S., Nasser, Ibrahim M.
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On-line learning processes in artificial neural networks [PDF]
, 1993 Tom Heskes, Bert Kappen
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Artificial Neural Network Pruning to Extract Knowledge
, 2020 Artificial Neural Networks (NN) are widely used for solving complex problems from medical diagnostics to face recognition. Despite notable successes, the main disadvantages of NN are also well known: the risk of overfitting, lack of explainability ...
Mirkes, Evgeny M
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Neural networks for aircraft control [PDF]
Current research in Artificial Neural Networks indicates that networks offer some potential advantages in adaptation and fault tolerance. This research is directed at determining the possible applicability of neural networks to aircraft control.
Linse, Dennis
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Measurement + Control, 2019 Increased utilization of nonlinear loads and fault event on the power system have resulted in a decline in the quality of power provided to the customers.
K Karthikumar +2 more
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Simulation studies of data classification by artificial neural networks: Potential applications in medical imaging and decision making [PDF]
, 1993 Yuzheng Wu +4 more
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Real time application of artificial neural network for incipient fault detection of induction machines [PDF]
, 1990 Mo–Yuen Chow, Sui Oi Yee
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Prediction of risk factors for linezolid-induced thrombocytopenia based on neural network model
Frontiers in PharmacologyBackground: Based on real-world medical data, the artificial neural network model was used to predict the risk factors of linezolid-induced thrombocytopenia to provide a reference for better clinical use of this drug and achieve the timely prevention of ...
Xian Zhao +9 more
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On the use of artificial neural networks to model sound quality [PDF]
, 1994 Peter C. Laux, Patricia Davies
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