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Prediction Model of Soil Nutrients Loss Based on Artificial Neural Network

Prediction Model of Soil Nutrients Loss Based on Artificial Neural Network
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摘要 On the basis of Artificial Neural Network theory, a back propagation neural network with one middle layer is building in this paper, and its algorithms is also given, Using this BP network model, study the case of Malian-River basin. The results by calculating show that the solution based on BP algorithms are consis- tent with those based multiple - variables linear regression model. They also indicate that BP model in this paper is reasonable and BP algorithms are feasible. On the basis of Artificial Neural Network theory, a back propagation neural network with one middle layer is building in this paper, and its algorithms is also given, Using this BP network model, study the case of Malian-River basin. The results by calculating show that the solution based on BP algorithms are consis- tent with those based multiple - variables linear regression model. They also indicate that BP model in this paper is reasonable and BP algorithms are feasible.
出处 《Journal of Northeast Agricultural University(English Edition)》 CAS 2001年第1期37-42,共6页 东北农业大学学报(英文版)
基金 Supported by Brilliant Youth Fund in Hebei Province
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  • 1HU Shou-ren.1993 Neural Network and Pattern Recognition[]..

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