Application of supervised machine learning paradigms in the prediction of petroleum reservoir properties: Comparative analysis of ANN and SVM models

DA Otchere, TOA Ganat, R Gholami, S Ridha - Journal of Petroleum …, 2021 - Elsevier
Abstract The advent of Artificial Intelligence (AI) in the petroleum industry has seen an
increase in its use in exploration, development, production, reservoir engineering and …

[PDF][PDF] Support vector regression

D Basak, S Pal, DC Patranabis - Neural Information Processing …, 2007 - researchgate.net
Abstract− Instead of minimizing the observed training error, Support Vector Regression
(SVR) attempts to minimize the generalization error bound so as to achieve generalized …

Incremental training of support vector machines

A Shilton, M Palaniswami, D Ralph… - IEEE transactions on …, 2005 - ieeexplore.ieee.org
We propose a new algorithm for the incremental training of support vector machines (SVMs)
that is suitable for problems of sequentially arriving data and fast constraint parameter …

Trending or not? Predictive analysis for youtube videos

MS Irshad, A Anand, M Ram - International Journal of System Assurance …, 2024 - Springer
The internet has brought about significant transformations in communication and human
behaviour. It has revolutionised how people connect, express themselves, and socialise …

Support vector machine algorithm for automatically identifying depositional microfacies using well logs

D Wang, J Peng, Q Yu, Y Chen, H Yu - Sustainability, 2019 - mdpi.com
Depositional microfacies identification plays a key role in the exploration and development
of oil and gas reservoirs. Conventionally, depositional microfacies are manually identified by …

Automatic identification of sedimentary facies based on a support vector machine in the Aryskum Graben, Kazakhstan

X Ai, H Wang, B Sun - Applied Sciences, 2019 - mdpi.com
The Aryskum Depression in the South Turgay Basin has shown improving exploration
prospects for subtle reservoirs, due to investment in the exploration workload and more …

New Intrusion Detection System to Protect MANET Networks Employing Machine Learning Techniques

MM Khalifa, ON Ucan… - … International Conference of …, 2021 - ieeexplore.ieee.org
The Intrusion Detection System (IDS) is one of the technologies available to protect mobile
ad hoc networks. The system monitors the network and detects intrusion from malicious …

Fast and accurate face recognition using SVM and DCT

D Sisodia, L Singh, S Sisodia - … of the Second International Conference on …, 2014 - Springer
The main problem of face recognition is large variability of the recorded images due to pose,
illumination conditions, facial expressions, use of cosmetics, different hairstyle, presence of …

Travel time prediction with immune genetic algorithm and support vector regression

P Gao, J Hu, H Zhou, Y Zhang - 2016 12th World Congress on …, 2016 - ieeexplore.ieee.org
Travel time prediction, one of the most fundamental problems in almost all subsystems of
Intelligent Transportation Systems (ITS), has attracted great attention in recent years. Lots of …

Data classification using support vector machine integrated with scatter search method

MH Afif, AR Hedar - 2012 Japan-Egypt Conference on …, 2012 - ieeexplore.ieee.org
Support Vector Machine (SVM) is a popular pattern classification method with many diverse
applications. The SVM has many parameters, which have significant influences the …