Using an improved back propagation neural network to study spatial distribution of sunshine illumination from sensor network data-Reference-Cited by-同舟云学术

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Using an improved back propagation neural network to study spatial distribution of sunshine illumination from sensor network data

Published:2013-09 Issue: Volume:266 Page:86-96
ISSN:0304-3800
Container-title:Ecological Modelling
language:en
Short-container-title:Ecological Modelling

Author:

Junguo Hu,Guomo Zhou,Xiaojun Xu

Funder

Zhejiang Province Public Welfare Projects for Industrial Technology Research

NSF China Major Program

National Basic Research 973 Program of China

Publisher

Elsevier BV

Subject

Ecological Modelling

Reference62 articles.

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2. Estimating global solar radiation using artificial neural network and air temperature data in a semi-arid environment;Ali;Renewable Energy,2010

3. Growth and photosynthesis of Chinese cabbage plants grown under light-emitting diode-based light source;Avercheva;Russian Journal of Plant Physiology,2009

4. An integrated artificial neural networks approach for predicting global radiation;Azadeh;Energy Conversion and Management,2009

5. ANN-based modelling and estimation of daily global solar radiation data: a case study;Benghanem;Energy Conversion and Management,2009

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