Projection Pursuit Flood Disaster Classification Assessment Method Based on Multi-Swarm Cooperative Particle Swarm Optimization

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ISSN Print: 1945-3094
ISSN Online: 1945-3108
www.scirp.org/Journal/jwarp
E-mail: jwarp@scirp.org

"Projection Pursuit Flood Disaster Classification Assessment Method Based on Multi-Swarm Cooperative Particle Swarm Optimization"
written by Wei Huang, XingNan Zhang,
published by Journal of Water Resource and Protection, Vol.3 No.6, 2011

has been cited by the following article(s):

[1]	Accelerating a Geometrical Approximated PCA Algorithm Using AVX2 and CUDA
	2020

[2]	A novel method for deriving reservoir operating rules based on flood classification-aggregation-decomposition
	Journal of Hydrology, 2018

[3]	OPTIMIZATION AND IMPLEMENTATION OF WIRELESS SENSOR NETWORK PERFORMANCEUSING ANT BEE COLONY.
	2017

[4]	Quantifying the contribution of flood intensity indicators with the projection pursuit model
	2017

[5]	Multitemporal remote sensing image classification by nature-inspired techniques
	Bio-Inspired Computation and Applications in Image Processing, 2017

[6]	OPTIMIZATION AND IMPLEMENTATION OF WIRELESS SENSOR NETWORK PERFORMANCE USING ANT BEE COLONY
	International Journal of Advanced Research in Computer Science, 2017

[7]	A SWARM Based Approach in Saving Flood Survivors
	International Journal of Computer Sciences and Engineering, 2015

[8]	A Projection Pursuit framework for supervised dimension reduction of high dimensional small sample datasets
	Neurocomputing, 2014

[9]	基于CPSO 的多目标文本分类投影寻踪
	计算机工程, 2014

[10]	基于 CPSO 的多目标文本分类投影寻踪
	2014

[11]	Spectral-spatial MODIS image analysis using Swarm intelligence algorithms and region based segmentation for flood assessment
	Proceedings of Seventh International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2012), 2013

[1]	Accelerating a Geometrical Approximated PCA Algorithm Using AVX2 and CUDA Remote Sensing, 2020 DOI:10.3390/rs12121918

[2]	Quantifying the contribution of flood intensity indicators with the projection pursuit model Hydrology Research, 2018 DOI:10.2166/nh.2017.038

[3]	A novel method for deriving reservoir operating rules based on flood classification-aggregation-decomposition Journal of Hydrology, 2018 DOI:10.1016/j.jhydrol.2018.10.032

[4]	Bio-Inspired Computation and Applications in Image Processing 2016 DOI:10.1016/B978-0-12-804536-7.00009-0

[5]	A Projection Pursuit framework for supervised dimension reduction of high dimensional small sample datasets Neurocomputing, 2015 DOI:10.1016/j.neucom.2014.07.057

[6]	Proceedings of Seventh International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2012) Advances in Intelligent Systems and Computing, 2013 DOI:10.1007/978-81-322-1041-2_14

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