Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Artificial neural network modelling to predict cuticle cracking in greenhouse peppers and tomatoes
Computers and Electronics in Agriculture
Expert Systems with Applications: An International Journal
Nonlinear neural network forecasting model for stock index option price: Hybrid GJR-GARCH approach
Expert Systems with Applications: An International Journal
Comparison of fitting weed seedling emergence models with nonlinear regression and genetic algorithm
Computers and Electronics in Agriculture
Predict soil texture distributions using an artificial neural network model
Computers and Electronics in Agriculture
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Prediction of street tree morphological parameters using artificial neural networks
Computers and Electronics in Agriculture
Artificial neural networks for automated year-round temperature prediction
Computers and Electronics in Agriculture
Application of ant colony, genetic algorithm and data mining-based techniques for scheduling
Robotics and Computer-Integrated Manufacturing
Artificial neural networks to predict corn yield from Compact Airborne Spectrographic Imager data
Computers and Electronics in Agriculture
Forecasting maturity of green peas: An application of neural networks
Computers and Electronics in Agriculture
Review: Calculation of soil electrical conductivity using a genetic algorithm
Computers and Electronics in Agriculture
Expert Systems with Applications: An International Journal
Review: Development of soft computing and applications in agricultural and biological engineering
Computers and Electronics in Agriculture
Expert Systems with Applications: An International Journal
Forecasting Taiwan's major stock indices by the Nash nonlinear grey Bernoulli model
Expert Systems with Applications: An International Journal
Computers and Electronics in Agriculture
Using multi-objective genetic algorithm for partner selection in green supply chain problems
Expert Systems with Applications: An International Journal
Solving flexible flow-shop problem with a hybrid genetic algorithm and data mining: A fuzzy approach
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Using a genetic algorithm to determine optimal complementary learning clusters for ESL in Taiwan
Expert Systems with Applications: An International Journal
Grey System Theory based prediction for topic trend on Internet
Engineering Applications of Artificial Intelligence
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Agriculture is the foundation of the national economy. Thus, an appropriate tool for forecasting agricultural output is very important for policy making. In this study, both modified background value calculation and use of a genetic algorithm to find the optimal parameters were adopted simultaneously to construct an improved GM(1,1) model (GAIGM(1,1)). The sample period of the forecasting models includes the annual values for the data of Taiwan's agricultural output from 1998 to 2010. The mean absolute percentage error and the root mean square percentage error are two criteria with which to compare the various forecasting models results. Both in-sample and out-of-sample forecast performance results show that the GAIGM(1,1) model has highly accurate forecasting. Therefore, the GAIGM(1,1) model can raise the forecast accuracy of the GM(1,1) model, and it is suitable for use in modeling and forecasting of agricultural output.