Abstract
Recycle agriculture in West China is a complicated category with high systematicness, whose development objective is characterized by diversification, abstraction and theorization. To make a prediction on the comprehensive development status of the recycle agricultural in west China with application of back-propagation artificial neural networks (BPN) so as to provide methods and theoretical directions for the research of applying neural network model to the agricultural development system. This paper, by means of the comprehensive assessment index system and the analytical method of the development of the recycle agriculture it builds and based on the comprehensive evaluation the Z value in 1995-2004 of the recycle agriculture in west China, predicts the development status of the recycle agriculture in west China under the BP neural network model through the MATLAB program, and eventually concludes that we must take corresponding measures to promote resources decrement input and resource reuse efficiency, protect the forest resources, and reinforce harnessing of water loss and soil erosion, with the help of the analytical hierarchy process and the entropy method.
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Wang, F., Xiao, H. (2010). Prediction on Development Status of Recycle Agriculture in West China Based on Artificial Neural Network Model. In: Zhu, R., Zhang, Y., Liu, B., Liu, C. (eds) Information Computing and Applications. ICICA 2010. Communications in Computer and Information Science, vol 105. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16336-4_56
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DOI: https://doi.org/10.1007/978-3-642-16336-4_56
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