in this study, the performance of aquacrop model to predict yield production of winter wheat (roshan and gods varieties), water and solute balance of soil profile was evaluated under water and salinity stresses. field experiments were conducted with three levels of saline irrigation water including: s1, s2 and s3corresponding to 1.4, 4.5 and 9.6 ds/m, respectively, and four levels of irrigation...

The main focus in this study is on data pre-processing, reduction in number of inputs or input space size reduction the purpose of which is the justified generalization of data set in smaller dimensions without losing the most significant data. In case the input space is large, the most important input variables can be identified from which insignificant variables are eliminated, or a variable ...

In this research, considering the importance of the topic and the gap in previous researches, a model for predicting tax evasion of guilds based on data mining technique is presented. The analyzed data includes the review of 5600 tax files of all trades with tax codes in Qazvin province during the years 2013-2018. The tax file related to guilds is in five tax groups, including the guild group o...

A mathematical model has been developed for the prediction of the collection efficiency of submicron particles in the conduit type scrubber. The model has been tested with the data in the literature [1,3].

the decisions made in the planning phase of a building project greatly affect its future operation and maintenance (o&m;) cost. recognizing the o&m; cost of condominiums’ common facilities as a critical issue for home owners, this research aims to develop an artificial neural network (ann) o&m; cost prediction model to assist developers and architects in effectively assessing the impacts of the...