Tag Archives: Artificial Intelligence

The Study of Three Multivariate Regression, Neural Network and Neuro-Fuzzy Models Efficiency in Splash Erosion Estimation (Published)

The application of artificial intelligence in soil properties prediction has been progressing and developing in recent years. Determination of aggregate stability properties as indices against soil erodibility is time consuming and difficult. The predictability of three multivariate linear regression, neural network and neuro-fuzzy models efficiency in splash erosion prediction has been tested in this study. Due to low correlation of some properties of the soil, only four input parameters of Sodium Absorption Ratio (SAR), Porosity, Geometric Mean Diameter (GMD) of aggregates and runoff height have been analyzed as input variables in splash erosion prediction. The results indicated the priority of neuro-fuzzy method compared to others. Coefficient of determination of 0.798 in gauss2mf membership function  with 3 membership functions and Hybrid Learning Algorithm have been obtained in adaptive neuro-fuzzy inference method. The small number of available data, in addition to samples distribution and spatial changes of samples led to low accuracy of multivariate linear regression method in splash erosion prediction.

Keywords: Aggregate Stability, Artificial Intelligence, Geometric Mean Diameter (GMD), Soil Erodibility

Artificial Intelligence in the Management of the Firm (Published)

Artificial Intelligence has changed from inquire about research facilities to business works. . current  studies refers to that several companies in the last two years has developed AI applications till the present time in most of these applications represents as systems only but the others are identified with conventional data frameworks like as information preparing and administration data frameworks and notwithstanding learning based Expert Systems (ES) applications and a numerous number of AI applications, for example, neural systems , information based arranging , booking frameworks , discourse amalgamation frameworks , voice-acknowledgment frameworks chiefs and designers see minimal about the commonsense issues related with the association of fake keen , administration and associations likewise this theme may consider an essential one in light of the fact that the accomplishment of AI framework relies upon solving different technical, managerial and organizational issues.

Keywords: Artificial Intelligence, Firms, Initial Data, Network Architecture