In modern software implementations of artificial neural networks the approach inspired by biology has more or less been abandoned for a more practical approach based on statistics and signal processing. In some of these systems, neural networks, or parts of neural networks (such as artificial neurons), are used as components in larger systems that combine both adaptive and non-adaptive elements. There are many problems which are solved with neural networks, especially in business and economic domains. Key words: neuron, neural networks, artificial intelligence, feed-forward neural networks, classificatio
This book covers 27 articles in the applications of artificial neural networks (ANN) in various disc...
Abstract — In this paper I describe the use of neural network in various related fields. Artificial ...
Neural Network is defined as the ability of a group to solve more problems than its individual membe...
In modern software implementations of artificial neural networks the approach inspired by biology ha...
. Modern industry of today needs flexible, adaptive and fault-tolerant methods for information proce...
Artificial neural networks may probably be the single most successful technology in the last two dec...
Artificial Neural Networks (ANN) approach is an alternate way to classical methods. As a computation...
Neural network is a web of million numbers of inter-connected neurons which executes parallel proces...
International audienceArtificial Neural Networks is a calculation method that builds several process...
Abstract: In this survey paper, we are elaborating Artificial Neural Network or ANN, its various cha...
Neural networks have recently known a major development after an extinction period of fifteen years....
The paper considers the practical application of an artificial neural network for solving complex, n...
The power and usefulness of artificial neural networks have been demonstrated in several application...
Abstract: Neural Network technology performs "intelligent" tasks similar to those performe...
The present paper has the objective to inform the public regarding the use of new techniques for the...
This book covers 27 articles in the applications of artificial neural networks (ANN) in various disc...
Abstract — In this paper I describe the use of neural network in various related fields. Artificial ...
Neural Network is defined as the ability of a group to solve more problems than its individual membe...
In modern software implementations of artificial neural networks the approach inspired by biology ha...
. Modern industry of today needs flexible, adaptive and fault-tolerant methods for information proce...
Artificial neural networks may probably be the single most successful technology in the last two dec...
Artificial Neural Networks (ANN) approach is an alternate way to classical methods. As a computation...
Neural network is a web of million numbers of inter-connected neurons which executes parallel proces...
International audienceArtificial Neural Networks is a calculation method that builds several process...
Abstract: In this survey paper, we are elaborating Artificial Neural Network or ANN, its various cha...
Neural networks have recently known a major development after an extinction period of fifteen years....
The paper considers the practical application of an artificial neural network for solving complex, n...
The power and usefulness of artificial neural networks have been demonstrated in several application...
Abstract: Neural Network technology performs "intelligent" tasks similar to those performe...
The present paper has the objective to inform the public regarding the use of new techniques for the...
This book covers 27 articles in the applications of artificial neural networks (ANN) in various disc...
Abstract — In this paper I describe the use of neural network in various related fields. Artificial ...
Neural Network is defined as the ability of a group to solve more problems than its individual membe...