In:
Advanced Materials Research, Trans Tech Publications, Ltd., Vol. 518-523 ( 2012-05-14), p. 4778-4781
Abstract:
In this article, the prediction model of wheat water requirement was established by optimization algorithm BP neural network, and network topological structure was ascertained. Input-output variable were leafage electricity characteristic and irrigation volume. The BP neural network is trained by 60 sets of experimental data. The result of emulation showed that the BP neural network can solve the uncertainty and non-linear of the model, and the model has high precision.
Type of Medium:
Online Resource
ISSN:
1662-8985
DOI:
10.4028/www.scientific.net/AMR.518-523
DOI:
10.4028/www.scientific.net/AMR.518-523.4778
Language:
Unknown
Publisher:
Trans Tech Publications, Ltd.
Publication Date:
2012
detail.hit.zdb_id:
2265002-7