Superiority of artificial neural networks for a genetic classification procedure

A mulit-layer artificial neural network, with a backpropagation training algorithm and 11 neurons in the input layer, was used.. In this type of network, network inputs are

The number of neurons in input layer, hidden layer and output layer of this neural network were kept as 6, 11 and 1, respectively (Fig. This ANN was first trained with

Artificial neural networks with 8 hidden neurons presented better results. than ANNs with the same learning rate , training time and

Method: A neuro-fuzzy system was developed using the NEFCLASS (NEuro Fuzzy CLASSIfication) architecture and an artificial neural network with backpropagation learning

Abstract Faced with the historical role of or- ganized civil society in the social responses to AIDS and the global health governance, this paper analyzes the biography of

Otros aspectos relevantes a considerarse en la cumplimentación de las DAV se han planteado a tra- vés de un estudio realizado por Silveira y colabora- dores 4 , que investigó

Todo este trabalho culminou na criação duma clutch inspirada no traje típico de Nisa mas ao mesmo tempo, tende a construir a possibilidade de, futuramente, criar esta e outras peças

Conservative treatment aim recover of both mechanical and physi- ological functions through neural mobilization techniques, along with the activation of the deep neck flexors