Studies of an Improved LMBP Model for Predicting Potential Distribution of Insects

Abstract:

An improved LMBP algorithm model was presented based on analysing the shortcomings of back propagation (BP)neural network and discussing the idea of Levenberg-Marquardt (LM)algorithm. The simulating data proved that the improved LMBP model was able to overcome its local minimum and increase the converging speed in comparison with BP algorithm. Meanwhile this model was applied to predicting the potential distribution of insects. Here we take an example of oriental fruit fly Bactrocera dorsalis. The experimental results show that the algorithm model has a capacity of learning and can solve the forecasting problem in potential distribution of oriental fruit fly. The algorithm model is better than other traditional method and is very useful and efficient in practice

• Periodical: Advanced Materials Research (Volume 459)
• Pages: 594-598
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.459.594
• Online since: January 2012
• Authors: Yuan Ping Ni, Hui Ye
• Keywords: Improved LMBP, Insects, Neural Network (NN), Potential Distribution, Predicting

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