文件名称:pso_Methods_for_Pattern_Recognition_and_Image_Proc
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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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压缩包 : 7941955pso_methods_for_pattern_recognition_and_image_processing.rar 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