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Genetic algorithms with fuzzy fitness function for object extraction using cellular networks
1994
Fuzzy sets and systems (Print)
Setting up a CeJlular Neural Network (CNN) for a particular task needs a proper selection of circuit parameters (cloning template) which determines the dynamics of the network. The present paper provides a methodology, demonstrating the capability of Genetic Algorithms with a fuzzy fitness function, for automatic selection of cloning templates when a CNN is used in extracting object regions from noisy images. Fuzzy geometrical propeI:'ties of image are used as the basis of fitness function. The
doi:10.1016/0165-0114(94)90017-5
fatcat:mtc5stsq2baenkz3rb7op65o7e