Forest Fire Disaster Area Prediction Based on Genetic Algorithm and Support Vector Machine

Advanced Materials Research ◽

10.4028/scientific5/amr.446-449.3037 ◽

2012 ◽

Vol 446-449 ◽

pp. 3037-3041

Author(s):

Fang Xiao

Keyword(s):

Genetic Algorithm ◽

Support Vector Machine ◽

Forest Fire ◽

Support Vector ◽

Disaster Area ◽

Fire Disaster ◽

Forest Fire Disaster

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Forest Fire Disaster Area Prediction Based on Genetic Algorithm and Support Vector Machine

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.446-449.3037 ◽

2012 ◽

Vol 446-449 ◽

pp. 3037-3041 ◽

Author(s):

Fang Xiao

Keyword(s):

Genetic Algorithm ◽

Support Vector Machine ◽

Forest Fire ◽

Optimal Solution ◽

Jiangxi Province ◽

Support Vector ◽

Disaster Area ◽

Fire Disaster ◽

Svm Model ◽

Forest Fire Disaster

Forest fire disaster area prediction based on genetic algorithm and support vector machine is presented in the paper.Genetic algorithm is used to select appropriate parameters of support vector machine. Genetic algorithm can obtain the optimal solution by a series of iterative computations.The forest fire disaster area data in Jiangxi Province from 1970 to 1997 are used as our research data. The comparison of the forest fire disaster area forecasting results between the proposed GA-SVM model and the SVM model is given,which indicates that the proposed GA-SVM model has more excellent forest fire disaster area forecasting results than the SVM model.

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Nonlinear correction of sensor using genetic algorithm and support vector machine

JOURNAL OF ELECTRONIC MEASUREMENT AND INSTRUMENT ◽

10.3724/sp.j.1187.2011.00056 ◽

2011 ◽

Vol 25 (1) ◽

pp. 56-60 ◽

Author(s):

Tao Liu ◽

Hua Wang

Keyword(s):

Genetic Algorithm ◽

Support Vector Machine ◽

Support Vector ◽

Nonlinear Correction

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A New Method to Obtain 3-D Surface Deformations From InSAR and GNSS Data With Genetic Algorithm and Support Vector Machine

IEEE Geoscience and Remote Sensing Letters ◽

10.1109/lgrs.2021.3049128 ◽

2021 ◽

pp. 1-5

Author(s):

Panfeng Ji ◽

Xiaolei Lv ◽

Jingchuan Yao ◽

Guangcai Sun

Keyword(s):

Genetic Algorithm ◽

Support Vector Machine ◽

Support Vector ◽

Surface Deformations ◽

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Mid-term prediction of electrical energy consumption for crude oil pipelines using a hybrid algorithm of support vector machine and genetic algorithm

Energy ◽

10.1016/j.energy.2021.119955 ◽

2021 ◽

Vol 222 ◽

pp. 119955

Author(s):

Lei Xu ◽

Lei Hou ◽

Zhenyu Zhu ◽

Yu Li ◽

Jiaquan Liu ◽

...

Keyword(s):

Genetic Algorithm ◽

Support Vector Machine ◽

Energy Consumption ◽

Crude Oil ◽

Hybrid Algorithm ◽

Electrical Energy ◽

Support Vector ◽

Electrical Energy Consumption ◽

Term Prediction ◽

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Application of Support Vector Machine Of Quantum Genetic Algorithm With Gauss Initialization In Multi-Class Classification

2019 16th International Computer Conference on Wavelet Active Media Technology and Information Processing ◽

10.1109/iccwamtip47768.2019.9067652 ◽

2019 ◽

Author(s):

CHI ZHANG ◽

DAN LI ◽

HAO-YANG LI ◽

LAN-FEI MA ◽

JIA-YI SONG ◽

...

Keyword(s):

Genetic Algorithm ◽

Support Vector Machine ◽

Support Vector ◽

Quantum Genetic Algorithm ◽

Multi Class Classification

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Security audit system using Adaptive Genetic Algorithm and Support Vector Machine

2010 3rd International Conference on Advanced Computer Theory and Engineering(ICACTE) ◽

10.1109/icacte.2010.5579632 ◽

2010 ◽

Author(s):

Xiaomei Yi ◽

Peng Wu

Keyword(s):

Genetic Algorithm ◽

Support Vector Machine ◽

Support Vector ◽

Adaptive Genetic Algorithm ◽

Security Audit ◽

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Mutation probability of cytochrome P450 based on a genetic algorithm and support vector machine

Biotechnology Journal ◽

10.1002/biot.201000450 ◽

2011 ◽

Vol 6 (11) ◽

pp. 1367-1376 ◽

Author(s):

Yu Yao ◽

Tao Zhang ◽

Yi Xiong ◽

Li Li ◽

Juan Huo ◽

...

Keyword(s):

Genetic Algorithm ◽

Support Vector Machine ◽

Cytochrome P450 ◽

Support Vector ◽

Mutation Probability

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Support Vector Machine and Genetic Algorithm for Efricient Blood Cell Recognition

2007 IEEE Instrumentation & Measurement Technology Conference IMTC 2007 ◽

10.1109/imtc.2007.379321 ◽

2007 ◽

Author(s):

R. Siroic ◽

S. Osowski ◽

T. Markiewicz ◽

K. Siwek

Keyword(s):

Genetic Algorithm ◽

Support Vector Machine ◽

Support Vector ◽

Cell Recognition

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Classification of urban vegetation patterns from hyperspectral imagery: hybrid algorithm based on genetic algorithm tuned fuzzy support vector machine

Optical Engineering ◽

10.1117/1.oe.51.11.111709 ◽

2012 ◽

Vol 51 (11) ◽

pp. 111709 ◽

Author(s):

Mandi Zhou

Keyword(s):

Genetic Algorithm ◽

Support Vector Machine ◽

Hybrid Algorithm ◽

Hyperspectral Imagery ◽

Support Vector ◽

Urban Vegetation ◽

Vegetation Patterns ◽

Fuzzy Support Vector Machine

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Optimizing mixture properties of biodiesel production using genetic algorithm-based evolutionary support vector machine

International Journal of Green Energy ◽

10.1080/15435075.2016.1206549 ◽

2016 ◽

Vol 13 (15) ◽

pp. 1599-1607 ◽

Author(s):

Min-Yuan Cheng ◽

Doddy Prayogo ◽

Yi-Hsu Ju ◽

Yu-Wei Wu ◽

Sylviana Sutanto

Keyword(s):

Genetic Algorithm ◽

Support Vector Machine ◽

Biodiesel Production ◽

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