Results 21 to 30 of about 227,775 (119)

Validation of the usefulness of artificial neural networks for risk prediction of adverse drug reactions used for individual patients in clinical practice.

PLoS ONE, 2020
Artificial neural networks are the main tools for data mining and were inspired by the human brain and nervous system. Studies have demonstrated their usefulness in medicine.
Shungo Imai, Yoh Takekuma, Hitoshi Kashiwagi, Takayuki Miyai, Masaki Kobayashi, Ken Iseki, Mitsuru Sugawara   +6 more
doaj   +1 more source

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
doaj   +1 more source

Pricing American Put Option using RBF-NN: New Simulation of Black-Scholes

Moroccan Journal of Pure and Applied Analysis, 2022
The present work proposes an Artificial Neural Network framework for calculating the price and delta hedging of American put option. We consider a sequence of Radial Basis function Neural Network, where each network learns the difference of the price ...
Zaineb El Kharrazi, Sahar Saoud, Zouhir Mahani   +2 more
doaj   +1 more source

Prediction of Free Swell Index for the Expansive Soil Using Artificial Neural Networks [PDF]

Journal of Soft Computing in Civil Engineering, 2019
Prediction of the free swell index of the expansive soil using artificial neural network has been presented in this paper.  Input parameters for the artificial neural network model were plasticity index and shrinkage index, while the output was the free ...
Rakesh Dutta, Ajay Singh, Tammineni Gnananandarao   +2 more
doaj   +1 more source

Classification of asteroid families with artificial neural networks [PDF]

Serbian Astronomical Journal, 2020
This paper describes an artificial neural network for classification of asteroids into families. The data used for artificial neural network training and testing were obtained by the Hierarchical Clustering Method (HCM).
Vujičić D., Pavlović R., Milošević D., Đorđević B., Ranđić S., Stojić D.   +5 more
doaj   +1 more source

Research Progress of Oilfield Development Index Prediction Based on Artificial Neural Networks

Energies, 2021
Accurately predicting oilfield development indicators (such as oil production, liquid production, current formation pressure, water cut, oil production rate, recovery rate, cost, profit, etc.) is to realize the rational and scientific development of ...
Chenglong Chen, Yikun Liu, Decai Lin, Guohui Qu, Jiqiang Zhi, Shuang Liang, Fengjiao Wang, Dukui Zheng, Anqi Shen, Lifeng Bo, Shiwei Zhu   +10 more
doaj   +1 more source

Optimal Artificial Neural Network Type Selection Method for Usage in Smart House Systems

Sensors, 2020
In the process of the “smart” house systems work, there is a need to process fuzzy input data. The models based on the artificial neural networks are used to process fuzzy input data from the sensors. However, each artificial neural network has a certain
Vasyl Teslyuk, Artem Kazarian, Natalia Kryvinska, Ivan Tsmots   +3 more
doaj   +1 more source

Modality Fusion Vision Transformer for Hyperspectral and LiDAR Data Collaborative Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
In recent years, collaborative classification of multimodal data, e.g., hyperspectral image (HSI) and light detection and ranging (LiDAR), has been widely used to improve remote sensing image classification accuracy.
Bin Yang, Xuan Wang, Ying Xing, Chen Cheng, Weiwei Jiang, Quanlong Feng   +5 more
doaj   +1 more source

A stochastic artificial neural network model for investigating street vendor behavior in a night market

International Journal of Distributed Sensor Networks, 2016
This article offers a hybrid computational approach that combines an artificial neural network with Bayesian probability to improve on the conventional artificial neural network model.
Pao-Kuan Wu, Tsung-Chih Hsiao, Ming Xiao
doaj   +1 more source

Estimation of soil properties by an artificial neural network

Magazine of Civil Engineering, 2022
Empirical dependencies are often used in various fields of geotechnics and civil engineering. The existing empirical formulas are mainly developed with the use of regression and multiple regression.
Ofrikhter Ian, Ponomaryov Andrey, Zakharov Alexander, Shenkman Roman   +3 more
doaj   +1 more source