Amanote Research
Register
Sign In
Recognition of Oil Shale Based on LIBSVM Optimized by Modified Genetic Algorithm
Open Petroleum Engineering Journal
- United Arab Emirates
doi 10.2174/1874834101508010363
Full Text
Open PDF
Abstract
Available in
full text
Categories
Energy
Date
August 19, 2015
Authors
Qihua Hu
Cong Wang
Xin Zhang
Jingjing Fan
Publisher
Bentham Science Publishers Ltd.
Related search
EEG Based Emotion Recognition Using SVM and LibSVM
International Journal of Computer Applications
Gesture Recognition Based on Modified Adaptive Orthogonal Matching Pursuit Algorithm
Cluster Computing
Computer Networks
Software
Communications
Protein Fold Recognition Using Genetic Algorithm Optimized Voting Scheme and Profile Bigram
Journal of Software
Simulation of Water Conservancy Scheduling System Based on an Optimized Dijkstra - Genetic Algorithm
International Journal of Multimedia and Ubiquitous Engineering
Computer Science
A Genetic K-Means Clustering Algorithm Based on the Optimized Initial Centers
Computer and Information Science
Technique of Preparing Modified Silica From Oil Shale Residue
Oil Shale
Geotechnical Engineering
Power Technology
Fuel Technology
Engineering Geology
Energy Engineering
Shale-Oil Development Prospects: The Role of Shale-Gas in Developing Shale-Oil
Energies
Control
Electronic Engineering
Energy Engineering
Renewable Energy
Energy
Fuel Technology
Sustainability
Optimization
Electrical
Power Technology
the Environment
Identification of Vehicle by Number Plate Recognition Using Genetic Algorithm
IJARCCE
Environmental Research on a Modified in Situ Oil Shale Task Process. Progress Report