<p>This paper reviews the application of artificial neural network (ANN) model in aviation specialist training. The ANN model is based on the dependence of residual knowledge of subjects of study on their individual abilities. The residual knowledge is the skills acquired by the subject before he is going for an occupation. The presented ANN model gives the possibility to predict the level of professional training of the specialists with high accuracy</p
A method for training artificial neural networks for intelligent decision support systems has been d...
The method of training artificial neural networks for intelligent decision support systems is develo...
This paper presents a variant of using an artificial neural network (ANN) for adaptive learning. The...
The task is to build a neural network model depending on residual knowledge the trainees with whom ...
SymSystems is developing pilot training systems for NASA. Based on their experience, student pilots ...
Due to the character of the original source materials and the nature of batch digitization, quality ...
The Navy needs improved methods for assigning naval aviators (pilots) to fixed-wing and rotary-winge...
Artificial Neural Networks (ANN) approach is an alternate way to classical methods. As a computation...
Purpose: on the basis of professional and non-professional factors formalization, designing of model...
Neural networks are one of the areas of research in the field of artistic intelligence, based on att...
Artificial neural networks (ANNs) have been extensively applied to a wide range of disciplines, such...
An ANN is an information or signal processing system consisting of a large number of simple processi...
Neural network is a web of million numbers of inter-connected neurons which executes parallel proces...
The algorithm to train artificial neural networks for intelligent decision support systems has been ...
A method for training artificial neural networks for intelligent decision support systems has been d...
A method for training artificial neural networks for intelligent decision support systems has been d...
The method of training artificial neural networks for intelligent decision support systems is develo...
This paper presents a variant of using an artificial neural network (ANN) for adaptive learning. The...
The task is to build a neural network model depending on residual knowledge the trainees with whom ...
SymSystems is developing pilot training systems for NASA. Based on their experience, student pilots ...
Due to the character of the original source materials and the nature of batch digitization, quality ...
The Navy needs improved methods for assigning naval aviators (pilots) to fixed-wing and rotary-winge...
Artificial Neural Networks (ANN) approach is an alternate way to classical methods. As a computation...
Purpose: on the basis of professional and non-professional factors formalization, designing of model...
Neural networks are one of the areas of research in the field of artistic intelligence, based on att...
Artificial neural networks (ANNs) have been extensively applied to a wide range of disciplines, such...
An ANN is an information or signal processing system consisting of a large number of simple processi...
Neural network is a web of million numbers of inter-connected neurons which executes parallel proces...
The algorithm to train artificial neural networks for intelligent decision support systems has been ...
A method for training artificial neural networks for intelligent decision support systems has been d...
A method for training artificial neural networks for intelligent decision support systems has been d...
The method of training artificial neural networks for intelligent decision support systems is develo...
This paper presents a variant of using an artificial neural network (ANN) for adaptive learning. The...