This paper presents the application of the artificial neural network (ANN) to the study of efficiency in technological networks. Based on a survey of 350 experts, who belong to different European institutions that regularly participate in technological networks, we represent joint and individual performance depending on two structural factors -number and typology of partners. Findings suggest that the main source of inefficiencies in the network derives from the discrepancy in the partner?s perception of network?s results and from the partners? contribution to the project, both at individual and joint level
This paper is concerned with the comparison of two popular non-parametric methodologies-data envelop...
Artificial Neural Network (ANN) is one of the modern computational methods proposed to solve increas...
A major problem in applying neural networks is the determination of the size of the network. Even fo...
Nowadays, the one of sections which is studied about is Artificial Neural Network (ANN) Models. ANN ...
This electronic version was submitted by the student author. The certified thesis is available in th...
An Artificial Neural Network ANN is a structured data processing pattern that is stimulated by the w...
Artificial neural networks may probably be the single most successful technology in the last two dec...
An Artificial Neural Network (ANN) is a data processing paradigm inspired by the way biologica...
Abstract: In this survey paper, we are elaborating Artificial Neural Network or ANN, its various cha...
This paper deals with the definition of artificial neural networks, principles of their operation an...
In this chapter the authors present the theory and mathematics behind artificial neural networks (AN...
Artificial Neural Networks (ANN) approach is an alternate way to classical methods. As a computation...
Neural networks have recently known a major development after an extinction period of fifteen years....
AbstractDefinition of Artificial Neural Networks (ANNs) is made by computer scientists, artificial i...
Numerous efforts have been made in developing "intelligent" programs based on the Von Neum...
This paper is concerned with the comparison of two popular non-parametric methodologies-data envelop...
Artificial Neural Network (ANN) is one of the modern computational methods proposed to solve increas...
A major problem in applying neural networks is the determination of the size of the network. Even fo...
Nowadays, the one of sections which is studied about is Artificial Neural Network (ANN) Models. ANN ...
This electronic version was submitted by the student author. The certified thesis is available in th...
An Artificial Neural Network ANN is a structured data processing pattern that is stimulated by the w...
Artificial neural networks may probably be the single most successful technology in the last two dec...
An Artificial Neural Network (ANN) is a data processing paradigm inspired by the way biologica...
Abstract: In this survey paper, we are elaborating Artificial Neural Network or ANN, its various cha...
This paper deals with the definition of artificial neural networks, principles of their operation an...
In this chapter the authors present the theory and mathematics behind artificial neural networks (AN...
Artificial Neural Networks (ANN) approach is an alternate way to classical methods. As a computation...
Neural networks have recently known a major development after an extinction period of fifteen years....
AbstractDefinition of Artificial Neural Networks (ANNs) is made by computer scientists, artificial i...
Numerous efforts have been made in developing "intelligent" programs based on the Von Neum...
This paper is concerned with the comparison of two popular non-parametric methodologies-data envelop...
Artificial Neural Network (ANN) is one of the modern computational methods proposed to solve increas...
A major problem in applying neural networks is the determination of the size of the network. Even fo...