文件名称:pso_Methods_for_Pattern_Recognition_and_Image_Proc
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- 上传时间：2008-10-13
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A dissipative particle swarm optimization is
developed according to the self-organization of dissipative
structure. The negative entropy is introduced to construct an
opening dissipative system that is far-from-equilibrium so as to
driving the irreversible evolution process with better fitness.
The testing of two multimodal functions indicates it improves
the performance effectively.
structure. The negative entropy is introduced to construct an
opening dissipative system that is far-from-equilibrium so as to
driving the irreversible evolution process with better fitness.
The testing of two multimodal functions indicates it improves
the performance effectively.
developed according to the self-organization of dissipative
structure. The negative entropy is introduced to construct an
opening dissipative system that is far-from-equilibrium so as to
driving the irreversible evolution process with better fitness.
The testing of two multimodal functions indicates it improves
the performance effectively.
structure. The negative entropy is introduced to construct an
opening dissipative system that is far-from-equilibrium so as to
driving the irreversible evolution process with better fitness.
The testing of two multimodal functions indicates it improves
the performance effectively.
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下载文件列表
Particle Swarm Optimization Methods for Pattern Recognition and Image Processing
Particle Swarm Optimization Methods for Pattern Recognition and Image Processing/00front.pdf
Particle Swarm Optimization Methods for Pattern Recognition and Image Processing/01chapter1.pdf
Particle Swarm Optimization Methods for Pattern Recognition and Image Processing/03chapter3.pdf
Particle Swarm Optimization Methods for Pattern Recognition and Image Processing/04chapter4.pdf
Particle Swarm Optimization Methods for Pattern Recognition and Image Processing/05chapter5.pdf
Particle Swarm Optimization Methods for Pattern Recognition and Image Processing/06chapter6.pdf
Particle Swarm Optimization Methods for Pattern Recognition and Image Processing/07chapter7.pdf
Particle Swarm Optimization Methods for Pattern Recognition and Image Processing/08chapter8.pdf
Particle Swarm Optimization Methods for Pattern Recognition and Image Processing/09back.pdf
www.dssz.com.txt
Particle Swarm Optimization Methods for Pattern Recognition and Image Processing/00front.pdf
Particle Swarm Optimization Methods for Pattern Recognition and Image Processing/01chapter1.pdf
Particle Swarm Optimization Methods for Pattern Recognition and Image Processing/03chapter3.pdf
Particle Swarm Optimization Methods for Pattern Recognition and Image Processing/04chapter4.pdf
Particle Swarm Optimization Methods for Pattern Recognition and Image Processing/05chapter5.pdf
Particle Swarm Optimization Methods for Pattern Recognition and Image Processing/06chapter6.pdf
Particle Swarm Optimization Methods for Pattern Recognition and Image Processing/07chapter7.pdf
Particle Swarm Optimization Methods for Pattern Recognition and Image Processing/08chapter8.pdf
Particle Swarm Optimization Methods for Pattern Recognition and Image Processing/09back.pdf
www.dssz.com.txt
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