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RISRegression Models for Saffron Yields in Iran
Saffron is an important crop in social and economical aspects in Khorassan Province (Northeast of Iran). In this research we tried to evaluate trends of saffron yield in recent years and to study the relationship between ...
Random regression test day model for clinical mastitis: Genetic parameters, model comparison, and correlations with indicator traits
The effects of parameter settings on the performance of Genetic Algorithm through experimental design and statistical analysis
(CCD) matrix. To gather the required
data, the proposed approach is implemented on a well-known traveling salesman problem with 48
cities. Then, regression modeling has been employed to relate GA variables settings to its...
Comparative evaluation of the performance of an improved biomass cook stove and the traditional stoves of Iran
In international development programs on improvement of energy supply for cooking in remote regions, biomass gasifier cook stoves have a remarkable place. Fuel type and size play a key role on the performance of such stoves. ...
Modeling and Optimization of Process Parameters in PMEDM by Genetic Algorithm
the regression models based on second
order polynomial equations for the different process
characteristics. Then, a genetic algorithm (GA) has been employed
to determine optimal process parameters for any desired output...
Determining the climatologically suitable areas for wheat production using MODIS-NDVI in Mashhad, Iran
چکیده؛
One of the most important environmental matters is adaptability of crops to climate of their cultivation areas.. Geo-informatics data and tools such as satellite images and GIS can be used to develop models ...
A stochastic approach to modeling and optimization of EDM machining parameters using Genetic Algorithm
Electrical discharge machining (EDM) is one of the most important non-traditional
machining processes. The important process parameters in this technique are discharge
pulse on time, discharge pulse off time ...
The effects of parameter settings on the performance of Genetic Algorithm through experimental design and statistical analysis
the required data, the proposed approach is implemented on a well-known travelling salesman problem with 48 cities. Then, regression modeling has been employed to relate GA variables settings to its performance characteristic. Analysis of Variance (ANOVA...