Add to ORKGUp to now many neural network models have been proposed. In our study we focus on two kinds of feedforward networks: strictly feedforward networks and Kohonen's self-organizing mappings where lateral competition is introduced. The two kinds of feedforward networks have played a fundamental role in neural networks research and application.Doctor of Philosophy (EEE
Artificial neural network models, particularly the perceptron and the backpropagation network, do no...
Neural networks are computing systems modelled after the biological neural network of animal brain a...
This paper tries to give a systematical review on the recent advances on supervised learning techniq...
The aim of this thesis is to present a consistent insight into the most frequently used types of art...
Feedforward unsupervised models cover a wide range of neural networks with various applications. In ...
The competitive learning is an adaptive process in which the neurons in a neural network gradually b...
An overview of neural networks, covering multilayer perceptrons, radial basis functions, constructiv...
We outline the main models and developments in the broad field of artificial neural networks (ANN). ...
Machine learning has evolved over the past years to become one of the major research fields in Compu...
Neural Network models have received increased attention in the recent years. Aimed at achieving huma...
Abstract. A feedforward neural network based on multi-valued neurons is considered in the paper. It ...
The article presents the basic concept of competitive learning in neural networks. Provides the main...
The goal of data mining is to solve various problems dealing with knowledge extraction from huge amo...
A major disadvantage of feedforward neural networks is still the difficulty to gain insight into the...
In this study, we focus on feed-forward neural networks with a single hidden layer. The research tou...
Artificial neural network models, particularly the perceptron and the backpropagation network, do no...
Neural networks are computing systems modelled after the biological neural network of animal brain a...
This paper tries to give a systematical review on the recent advances on supervised learning techniq...
The aim of this thesis is to present a consistent insight into the most frequently used types of art...
Feedforward unsupervised models cover a wide range of neural networks with various applications. In ...
The competitive learning is an adaptive process in which the neurons in a neural network gradually b...
An overview of neural networks, covering multilayer perceptrons, radial basis functions, constructiv...
We outline the main models and developments in the broad field of artificial neural networks (ANN). ...
Machine learning has evolved over the past years to become one of the major research fields in Compu...
Neural Network models have received increased attention in the recent years. Aimed at achieving huma...
Abstract. A feedforward neural network based on multi-valued neurons is considered in the paper. It ...
The article presents the basic concept of competitive learning in neural networks. Provides the main...
The goal of data mining is to solve various problems dealing with knowledge extraction from huge amo...
A major disadvantage of feedforward neural networks is still the difficulty to gain insight into the...
In this study, we focus on feed-forward neural networks with a single hidden layer. The research tou...
Artificial neural network models, particularly the perceptron and the backpropagation network, do no...
Neural networks are computing systems modelled after the biological neural network of animal brain a...
This paper tries to give a systematical review on the recent advances on supervised learning techniq...