Land resource management requires extensive land mapping. Conventional soil mapping takes a long time and is expensive; therefore, geographic information system data as predictor in texture modeling can be used an alternative solution to shorten reduce costs. Through digital elevation model data, topographic variability obtained independent variable predicting texture. Geographically weighted r...

it is well known that if the coefficient matrix in a linear system is large and sparse or sometimes not readily available, then iterative solvers may become the only choice. the block solvers are an attractive class of iterative solvers for solving linear systems with multiple right-hand sides. in general, the block solvers are more suitable for dense systems with preconditioner. in this paper,...

With the in-depth development of Internet technology as well information technology, continuous popularization computers in China, and increasingly obvious economic globalization, world’s economies are becoming more closely connected. Cross-border e-commerce has been developed better. In with deep China’s reform opening up, improvement our country’s science level, people’s living standards inte...

In this study, a Multi-Objective Genetic Algorithm (MOGA) is utilized to extract interpretable and compact fuzzy rule bases for modeling nonlinear Multi-input Multi-output (MIMO) systems. In the process of non- linear system identi cation, structure selection, parameter estimation, model performance and model validation are important objectives. Furthermore, se- curing low-level and high-level ...

Introduction: Since medical tourism is considered as an incremental activity in this sector and proper infrastructures in country to make medical tourism are lacking, announcement by authorities to provide perquisites of medical tourism to make the first clinic hotel and health town are necessary for the purpose of developing medical tourism in Iran, all of these side issues sh...

Permeability prediction problem has been examined using several methods such as empirical formulas, regression analysis and intelligent systems especially neural networks and fuzzy logic. This study proposes an improved and novel model for predicting permeability from conventional well log data. The methodology is integration of empirical formulas, multiple regression and neuro-fuzzy in a commi...