Artificial Neural Networks are models of interacting neurons that can be used as classifiers with large data sets. They can also be used for feature extraction and for reducing the dimensionality of large data sets. Den-Dritic electrotonic models can be used to suggest more robust artificial neural network models that are amenable to data mining and feature extraction
The Artificial Neural Network(ANN) are simplified models of the neurons of the human brain to make c...
Les réseaux de neurones artificiels sont de bons outils de modélisation ( efficaces, facilement adap...
The application of neural networks in the data mining has become wider. Data mining is the search fo...
Data Mining accomplishes nontrivial extraction of implicit, previously unknown, and potentially usef...
Artificial neuron network (ANN) is non linear mapping structures based on the function of human inte...
Neural network is a web of million numbers of inter-connected neurons which executes parallel proces...
Feature extraction is the heart of an object recognition system. In recognition problem, features ar...
The paper suggests a statistical framework for the parameter esti-mation problem associated with uns...
Artificial Neural Networks (ANNs) has highly interconnected elements (neurons) which unanimously wor...
We outline the main models and developments in the broad field of artificial neural networks (ANN). ...
Introduction: Artificial neural networks mimic brains behavior. They are able to predict and feature...
A biological neurone receives inputs from many sources, combines and presents them as a non-linear o...
Neural networks have been successfully applied in a wide range of supervised and unsupervised learni...
Data mining a multidisciplinary field, is an analytic process designed to explore data (typically bu...
Abstract — Companies have been collecting data for decades, building massive data warehouses in whic...
The Artificial Neural Network(ANN) are simplified models of the neurons of the human brain to make c...
Les réseaux de neurones artificiels sont de bons outils de modélisation ( efficaces, facilement adap...
The application of neural networks in the data mining has become wider. Data mining is the search fo...
Data Mining accomplishes nontrivial extraction of implicit, previously unknown, and potentially usef...
Artificial neuron network (ANN) is non linear mapping structures based on the function of human inte...
Neural network is a web of million numbers of inter-connected neurons which executes parallel proces...
Feature extraction is the heart of an object recognition system. In recognition problem, features ar...
The paper suggests a statistical framework for the parameter esti-mation problem associated with uns...
Artificial Neural Networks (ANNs) has highly interconnected elements (neurons) which unanimously wor...
We outline the main models and developments in the broad field of artificial neural networks (ANN). ...
Introduction: Artificial neural networks mimic brains behavior. They are able to predict and feature...
A biological neurone receives inputs from many sources, combines and presents them as a non-linear o...
Neural networks have been successfully applied in a wide range of supervised and unsupervised learni...
Data mining a multidisciplinary field, is an analytic process designed to explore data (typically bu...
Abstract — Companies have been collecting data for decades, building massive data warehouses in whic...
The Artificial Neural Network(ANN) are simplified models of the neurons of the human brain to make c...
Les réseaux de neurones artificiels sont de bons outils de modélisation ( efficaces, facilement adap...
The application of neural networks in the data mining has become wider. Data mining is the search fo...