The Application on the Forecast of Plant Disease Based on an Improved BP Neural Network

Bao Shi Jin; Yu Hu Zuo; Xiao Dan Ma; Hai Ou Guan; Feng Tan

doi:10.4028/www.scientific.net/AMR.433-440.5469

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 433-440The Application on the Forecast of Plant Disease...

The Application on the Forecast of Plant Disease Based on an Improved BP Neural Network

Abstract:

Aiming at the disadvantages of large computing, slow convergence and easily trapping into local minima of traditional BP network, a new method named batch momentum learning algorithm which combining the momentum with batch gradient descent algorithm has been used to be as the learning algorithm of connection weights and threshold of BP neural network, through using this method to forecast the prevalence of plant disease, the convergence speed of BP neural network has been enhanced.

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Periodical:

Advanced Materials Research (Volumes 433-440)

Pages:

5469-5473

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.433-440.5469

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Online since:

January 2012

Authors:

Bao Shi Jin, Yu Hu Zuo, Xiao Dan Ma, Hai Ou Guan, Feng Tan

Keywords:

BP Neural Network (BPNN), Forecast, Parameter Learning, Plant Diseases

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