Artificial neural networks and adaptive neuro-fuzzy inference system in energy modeling of agricultural products-Reference-Cited by-同舟云学术

Artificial neural networks and adaptive neuro-fuzzy inference system in energy modeling of agricultural products

Published:2021 Issue: Volume: Page:299-334
ISSN:
Container-title:Predictive Modelling for Energy Management and Power Systems Engineering
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Author:

Nabavi-Pelesaraei Ashkan,Rafiee Shahin,Hosseini-Fashami Fatemeh,Chau Kwok-wing

Publisher

Elsevier

Reference111 articles.

1. Determine of energy indicators and modeling of output energy for alfalfa production using artificial neural network in Lorestan province of Iran;Ahmadvand;Int. J. Farm. Allied Sci.,2016

2. EUE (energy use efficiency) of cropping systems for a sustainable agriculture;Alluvione;Energy,2011

3. Prediction of output energies for broiler production using linear regression, ANN (MLP, RBF), and ANFIS models;Amid;Env. Prog. Sustain. Energy,2017

4. Energy balance and greenhouse gas emissions in organic and conventional avocado orchards in Mexico;Astier;Ecol. Indic.,2014

5. Cultural energy analysis on broilers reared in different capacity poultry houses;Atilgan;Ital. J. Anim. Sci.,2006

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