Today based on the improvements in computer technologies, research aims at developing new ways of processing data. Some research focus on creating new instruments which imitate the biological data processing mechanisms of human beings. These kinds of research have paved the way for the development of artificial neural networks which can be regarded to be a superior tool for predictive analysis when compared to the traditional and more commonly applied predictive analysis tools. Today artificial neural networks have gained widespread applications in such disciplines as ecology, engineering and health. However, it can be alleged that they have been confined to limited application in educational research though they could be more functional an...
This article focuses on the use of artificial intelligence in the educational environment. We consid...
Throughout the years, the computational changes have brought growth to new technologies.Such is the ...
Two articles, Edelsbrunner and, Schneider (2013), and Nokelainen and Silander (2014) comment on Muss...
Today based on the improvements in computer technologies, research aims at developing new ways of pr...
Artificial neural networks are a computing system inspired by human neuron, designed to simulate the...
Artificial neural networks are 'biologically' inspired networks.They have the ability to learn from ...
The long course of evolution has given the human brain many desirable characteristics not present in...
Artificial neural networks (ANN) is referred as the neural networks are the signal processing and in...
An Artificial Neural Network (ANN) is an information processing paradigm that is inspired by the way...
Abstract: In this survey paper, we are elaborating Artificial Neural Network or ANN, its various cha...
An Artificial Neural Network (ANN) is a data processing paradigm inspired by the way biologica...
An Artificial Neural Network ANN is a computational model that is inspired by the way biological neu...
Neural network is a web of million numbers of inter-connected neurons which executes parallel proces...
There are numerous applications of Artificial Neural Networks (ANN) at the present time and there ar...
Neural networks have greatly improved the performance of form of programs like photograph processing...
This article focuses on the use of artificial intelligence in the educational environment. We consid...
Throughout the years, the computational changes have brought growth to new technologies.Such is the ...
Two articles, Edelsbrunner and, Schneider (2013), and Nokelainen and Silander (2014) comment on Muss...
Today based on the improvements in computer technologies, research aims at developing new ways of pr...
Artificial neural networks are a computing system inspired by human neuron, designed to simulate the...
Artificial neural networks are 'biologically' inspired networks.They have the ability to learn from ...
The long course of evolution has given the human brain many desirable characteristics not present in...
Artificial neural networks (ANN) is referred as the neural networks are the signal processing and in...
An Artificial Neural Network (ANN) is an information processing paradigm that is inspired by the way...
Abstract: In this survey paper, we are elaborating Artificial Neural Network or ANN, its various cha...
An Artificial Neural Network (ANN) is a data processing paradigm inspired by the way biologica...
An Artificial Neural Network ANN is a computational model that is inspired by the way biological neu...
Neural network is a web of million numbers of inter-connected neurons which executes parallel proces...
There are numerous applications of Artificial Neural Networks (ANN) at the present time and there ar...
Neural networks have greatly improved the performance of form of programs like photograph processing...
This article focuses on the use of artificial intelligence in the educational environment. We consid...
Throughout the years, the computational changes have brought growth to new technologies.Such is the ...
Two articles, Edelsbrunner and, Schneider (2013), and Nokelainen and Silander (2014) comment on Muss...