Results 251 to 260 of about 254,846 (297)

AVO inversion by Artificial Neural Networks (ANN)

SEG Technical Program Expanded Abstracts 2000, 2000
SUMMARY In this paper, we investigate the use of artificial neural networks (ANN) for amplitude variation with offset (AVO) analysis. Prospecting using AVO is dependent on the fact that the difference between near-offset and far-offset responses can be a hydrocarbon indicator.
Qiang Sun, John Castagna, Zhengping Liu
openaire   +1 more source

Artificial Neural Network (ANNs)

2017
This chapter presents a review of the major forms of the Artificial Neural Networks (ANNs) (Sordo 2002). The particular topic of discussion of this chapter is how learning takes place in these models. Different ways of training the networks are examined.
openaire   +1 more source

Experimental methods in chemical engineering: Artificial neural networks–ANNs

The Canadian Journal of Chemical Engineering, 2019
Artificial neural networks (ANNs) are one of the most powerful and versatile tools provided by artificial intelligence and they have now been exploited by chemical engineers for several decades in countless applications. ANNs are computational tools providing a minimalistic mathematical model of neural functions.
Jacopo Panerati, Matthias A. Schnellmann, Christian Patience, Giovanni Beltrame, Gregory S. Patience   +4 more
openaire   +1 more source

A review of stock market prediction with Artificial neural network (ANN)

2013 IEEE International Conference on Control System, Computing and Engineering, 2013
Stock market is a promising financial investment that can generate great wealth. However, the volatile nature of the stock market makes it a very high risk investment. Thus, a lot of researchers have contributed their efforts to forecast the stock market pricing and average movement.
Chang Sim Vui, Kim Soon Gan, Chin Kim On, Rayner Alfred, Patricia Anthony   +4 more
openaire   +1 more source

ANN

Proceedings of the 2016 International Conference on Intelligent Information Processing, 2016
Heuristic search algorithm has been widely used in the fields of geographic information system, intelligent robot path planning, etc. This paper proposes a heuristic search algorithm based on artificial neural network, which is named ANN*. The architecture of the ANN* algorithm is similar to the A* algorithm, but it contains a novel heuristic function ...
Guangli Li, Guancheng Wang 0003, Qiang Wang, Fan Fei, Shuai Lü 0001, Degui Guo   +5 more
openaire   +2 more sources

Artificial Neural Networks (ANNs) and Solution of Civil Engineering Problems

2020
This chapter reveals the advantages of artificial neural networks (ANNs) by means of prediction success and effects on solutions for various problems. With this aim, initially, multilayer ANNs and their structural properties are explained. Then, feed-forward ANNs and a type of training algorithm called back-propagation, which was benefited for these ...
Melda Yucel, Sinan Melih Nigdeli, Gebrail Bekdaş   +2 more
openaire   +2 more sources

Introduction to artificial neural networks (ANN)

2021
Ahmed Fawzy Gad, Fatima Ezzahra Jarmouni
openaire   +1 more source

Towards a comprehensive optimization of engine efficiency and emissions by coupling artificial neural network (ANN) with genetic algorithm (GA)

Energy, 2021
Yaopeng Li, Ming Jia, Xue-Song Bai
exaly  

Computational fluid dynamics (CFD), artificial neural network (ANN) and genetic algorithm (GA) as a hybrid method for the analysis and optimization of micro-photocatalytic reactors: NOx abatement as a case study

Chemical Engineering Journal, 2022
Humberto G Riella, Natan Padoin, Cíntia Soares   +2 more
exaly  

Artificial Neural Networks (ANN)

2018
Phil Mars, J.R. Chen, Raghu Nambiar
openaire   +1 more source