Application of supervised machine learning paradigms in the prediction of petroleum reservoir properties: Comparative analysis of ANN and SVM models
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 …
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 …
(SVR) attempts to minimize the generalization error bound so as to achieve generalized …
Incremental training of support vector machines
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 …
that is suitable for problems of sequentially arriving data and fast constraint parameter …
Trending or not? Predictive analysis for youtube videos
The internet has brought about significant transformations in communication and human
behaviour. It has revolutionised how people connect, express themselves, and socialise …
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 …
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 …
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 …
ad hoc networks. The system monitors the network and detects intrusion from malicious …
Fast and accurate face recognition using SVM and DCT
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 …
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 …
Intelligent Transportation Systems (ITS), has attracted great attention in recent years. Lots of …
Data classification using support vector machine integrated with scatter search method
Support Vector Machine (SVM) is a popular pattern classification method with many diverse
applications. The SVM has many parameters, which have significant influences the …
applications. The SVM has many parameters, which have significant influences the …