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- W2384241796 abstract "Aiming at the fuzziness and uncertainty of the edge of the lesion region pixels,this paper proposed a decision system of image segmentation of plant diseases with linear and clear self-adaptive five-layer fuzzy neural network model,and optimized the initial values of adjustable parameters by quantum genetic algorithm,which based on the function characteristic that pieces of fuzzy rules of T-S model is the input language variable.The experimental result showed that T-S model had many advantages including accuracy,convergence,stability,robustness,and easy to implement when implied in color image segmentation of potato early blight,which overcame local minimum of traditional gradient descent method." @default.
- W2384241796 created "2016-06-24" @default.
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- W2384241796 date "2011-01-01" @default.
- W2384241796 modified "2023-09-28" @default.
- W2384241796 title "Fuzzy neural network based on T-S model and its application on image segmentation of plant diseases" @default.
- W2384241796 hasPublicationYear "2011" @default.
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