Effect of different factors of neural network on soil profile of Khartoum stateThe Artificial Neural Networks (ANNs) is well suited to model complex problems where the relationship between the model variables is unknown. Soil profile information can be increasingly more valuable for decision making when coupled with Artificial Intelligence (AI). In this paper the effect of ANN geometry and some internal parameters on the performance of ANN models was studied by apply the networks for a narrow zone .The influence of these factors appears clearly to affect the predicting results
The infamous soils of Adapazari, Turkey, that failed extensively during the 46-s long magnitude 7.4 ...
The study of soil property relationships is of great importance in agronomy aiming for a rational ma...
International audienceThe present study uses different ANN training algorithms to predict soil type ...
Comparison of different methods of application of neural network on soil profile of Khartoum stateT...
Comparison of different methods of application network on soil profile of Khartoum stateAbstract: W...
Developing of prediction models for soil profile and its parameters using Artificial Neural Network...
SOIL PROFILE PREDICTION IN KHARTOUM USING ARTIFICIAL NEURAL NETWORKSArtificial Neural Networks (ANNs...
Predictions of Soil Profile of Different Zones of Sudan using Artificial Neural NetworkThe purpose...
Comparison of two different application of neural network on Sudan soil profileThe objective of thi...
The drilling of a number of boreholes to determine the soil profile of a given area is time consumin...
Abstract: The objective of this paper is to compare between two studies that had been carried out us...
The Potential of Using Artificial Neural Networks for Prediction of Blue Nile Soil Profile in Khar...
Application of artificial neural network for prediction of Sudan soil profileThe aim of this paper ...
Prediction Of Blue Nile Profile Using Artificial Intelligence TechniqueArtificial NeuraL Networks (A...
Prediction of soil parameters using Artificial Neural NetworkThe objective of this research is to de...
The infamous soils of Adapazari, Turkey, that failed extensively during the 46-s long magnitude 7.4 ...
The study of soil property relationships is of great importance in agronomy aiming for a rational ma...
International audienceThe present study uses different ANN training algorithms to predict soil type ...
Comparison of different methods of application of neural network on soil profile of Khartoum stateT...
Comparison of different methods of application network on soil profile of Khartoum stateAbstract: W...
Developing of prediction models for soil profile and its parameters using Artificial Neural Network...
SOIL PROFILE PREDICTION IN KHARTOUM USING ARTIFICIAL NEURAL NETWORKSArtificial Neural Networks (ANNs...
Predictions of Soil Profile of Different Zones of Sudan using Artificial Neural NetworkThe purpose...
Comparison of two different application of neural network on Sudan soil profileThe objective of thi...
The drilling of a number of boreholes to determine the soil profile of a given area is time consumin...
Abstract: The objective of this paper is to compare between two studies that had been carried out us...
The Potential of Using Artificial Neural Networks for Prediction of Blue Nile Soil Profile in Khar...
Application of artificial neural network for prediction of Sudan soil profileThe aim of this paper ...
Prediction Of Blue Nile Profile Using Artificial Intelligence TechniqueArtificial NeuraL Networks (A...
Prediction of soil parameters using Artificial Neural NetworkThe objective of this research is to de...
The infamous soils of Adapazari, Turkey, that failed extensively during the 46-s long magnitude 7.4 ...
The study of soil property relationships is of great importance in agronomy aiming for a rational ma...
International audienceThe present study uses different ANN training algorithms to predict soil type ...