Browsing by Author "Wagarachchi, NM"

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Mathematical modeling of hidden layer architecture in artificial neural networks

Wagarachchi, NM; Karunananda, AS [Conference-Abstract]

The performance of a multilayer artificial neural network is very much depends on the architecture of the hidden layers. Therefore, modeling of hidden layer architecture has become a research challenge. At present most ...
Novel Technique for Optimizing the hidden layer architecture in Artificial Neural Networks

Wagarachchi, NM; Karunananda, AS [Article-Abstract]

The architecture of an artificial neural network has a great impact on the generalization power. More precisely, by changing the number of layers and neurons in each hidden layer generalization ability can be significantly ...
Optimization of multi-layer artificial neural networks using delta values of hidden layers

Wagarachchi, NM; Karunananda, AS [Conference-Full-text]

The number of hidden layers is crucial in multilayer artificial neural networks. In general, generalization power of the solution can be improved by increasing the number of layers. This paper presents a new method to ...
Towards a theoretical basis for modelling of hidden layer architecture in artificial neural networks

Wagarachchi, NM; Karunananda, AS [Conference-Abstract]

Artificial neural networks (ANNs) arc mathematical and computational models that arc inspired by the biological neural systems. Just like biological neural networks become experts by learning from the surrounding, ANNs ...

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