z-logo
open-access-imgOpen Access
Applying artificial neural networks and multi-objective genetic algorithm to modeling and optimization of energy inputs and greenhouse gas emissions for peanut production
Author(s) -
Ashkan NabaviPelesaraei,
Reza Abdi,
S. Rafiee
Publication year - 2014
Publication title -
international journal of biosciences (ijb)
Language(s) - English
Resource type - Journals
eISSN - 2222-5234
pISSN - 2220-6655
DOI - 10.12692/ijb/4.7.170-183
Subject(s) - greenhouse gas , genetic algorithm , artificial neural network , greenhouse , production (economics) , environmental science , energy (signal processing) , agricultural engineering , computer science , agronomy , engineering , mathematics , biology , ecology , artificial intelligence , machine learning , statistics , macroeconomics , economics

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom