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Application of Hybrid Genetic Algorithm-BP Neural Networks to Diagnosis of Lung Cancer

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2 Author(s)
Li Cen ; Wuhan Univ. of Technol., Wuhan ; Mei Wang

Lung cancer is a material cause of cancer death. To forecast CT diagnosis of lung cancer, this paper proposes a hybrid genetic algorithm-BP neural networks (GA-BP algorithm), which introduces multi-species co-evolution genetic algorithm (MCGA) and simulated annealing algorithm (SA), to solve the problem of traditional GA-BP algorithm and avoid trapping in a local minimum. Experiments indicate that the hybrid GA-BP algorithm can accelerate convergence to the optimal solution and provides an effective method for the early diagnosis of lung cancer.

Published in:

Computer Science and Software Engineering, 2008 International Conference on  (Volume:1 )

Date of Conference:

12-14 Dec. 2008