A Hybrid Genetic Algorithm and Artificial Neural Networks (GANN) for Feature Reduction in Forest Fire Detection

سال انتشار: 1395
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 705

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شناسه ملی سند علمی:

CBCONF01_0181

تاریخ نمایه سازی: 16 شهریور 1395

چکیده مقاله:

Early fire detection is very important in fighting fires. To this end, researchers have carried out work on feature reduction in automatic fire detection systems. One such method used in the fire detection field is Self-Organizing Maps (SOM). SOM has some limitations such as exponential complexity in large search spaces. This paper proposed GANN method based on the combination of Genetic Algorithms (GAs) and Artificial Neural Networks (ANNs) for forest fire detection. Applying GA will result in reduced number of features which could be used as inputs to ANN. The fitness function of the GA chromosomes is defined as the output value returned by ANN. Also we compare our results with SOM, Principal Component Analysis (PCA) and Independent Component Analysis (ICA). To demonstrate the efficiency of these methods, we have used the Canadian forest fire management information systems dataset. In this paper the performance of algorithms are compared based on mean square error (MSE) rate. Our simulation results demonstrated that the MSE in the GANN is less than other methods and the proposed method can reduce features without any reduction in accuracy.

نویسندگان

Elham Mahdipour

Faculty member of Khavaran Higher Education Institute, Mashhad, Iran

Chitra Dadkhah

Assistant professor, K.N.Toosi University of Technology, Tehran, Iran

Mohammad Teshnehlab

professor, K.N.Toosi University of Technology, Tehran, Iran

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  • Mohamed Hefeeda, Majid Bagheri. (2009). "Forest fire modeling and early ...
  • Jeffrey S. Newman. (1987). "Prediction of fire detector response". Fire ...
  • Ashraf Saad. (2008). "An overview of hybrid soft computing techniques ...
  • Elham Mahdipour, Chitra Dadkhah. (2012). "Automatic fire detection based _ ...
  • Majid Bahrepour, Berend Jan Van der Zwaag, Nirvana Meratnia, and ...
  • Fernando G. Lobo, David E. Goldberg, Martin Pelikan. (2000). "Time ...
  • www. cs .bham. ac .uk/-wbl/bibl i o/gec co 2000/GA07 5 ...
  • Francesco Maiorana. (2008). "Performance improvements of a kohonen self organizing ...
  • Dong Ling Tong, Robert Mintram. (2010). "Genetic Al gorithm-Neural Network ...
  • Dong-Ling Tong. (2009). "Hybridising genetic al gorithm-neural network (GANN) in ...
  • Guozhong Zhou, James D. McCalley. (2008). "Genetic-based feature selection applied ...
  • L.B.Jack, A.K.Nandi. (2000). "Genetic algorithms for feature selection in machine ...
  • Robert G Beiko, Robert L Charlebois (2005). "Software GANN: Genetic ...
  • B. Samanta, K. R. Al-Balushi, S. A. Al-Araimi. (2006). "Artificial ...
  • Yu-Rong Tang, Zhi-Ya Sheng, Yong-Zi Chen, Ziding Zhang. (2008). " ...
  • Tong, D. L., Phalp, K. T, Schierz, A. C. and ...
  • Majid Bahrepour, Nirvana Meratnia, Paul J. M. Havinga. (2009). "Use ...
  • Athanasios S. Drigas, John Vrettaros. (2008). "Using the S elf-Organizing ...
  • Kohonen, T. (1995). _ S e If-Organization Maps". Springer, Heidelberg. ...
  • Igor Mokris, Radoslav Forgac. (2004). "Decreasing the feature space dimension ...
  • obuda. hu/conference s/S AMI2 004/mokris _ .pdf ...
  • Goh Kia Eng. (2006). _ S elf-organization map and multi ...
  • Victor Hugo Costa Albuquerque, Auzuir Ripardo de Alexandria, Paulo Cesar ...
  • Henry Wirth, Martin von Bergen, and Hans Binder. (2012). "Mining ...
  • Timothy M. Davenport. (2012). "Early forest fire detection using texture ...
  • Lindsay I Smith. (2002). "A tutorial on principal components analysis", ...
  • Qian Du and James E. Fowler. (2008). _ Lo w-Complexity ...
  • Gabriela Miranda; Adriano Lisboa; Douglas Vieira , Francisco Queiroz, Carlos ...
  • John Saghri ; John Jacobs _ Tim Davenport and David ...
  • Aapo Hyv arinen and Urs KKoster. (2006). "FastISA: _ fast ...
  • Aapo Hyvarinen and Erkki Oja. (2000). "Independent component analysis: algorithms ...
  • HU Yan, WANG Hui-qin, MA Zong-fang, LIANG Jun-shan, "Image fire ...
  • Jianzhong Rong, Dechuang Zhou, Wei Yao, Wei Gao, Juan Chen, ...
  • Anchal Garg, Rohit Bajaj, Facial expression recognition & classification using ...
  • Lee, B.S., Alexander, M.E., Hawkes, B.C., Lynham, T.J., Stocks, B.J., ...
  • Corina Sararu, Luminita State, Maria Miroiu. (2010). "Independent Component Analysis ...
  • نمایش کامل مراجع