Most of the free time a modern Internet user spends in various social networks, while
publishing various information, news from his life, interested in content, communicating with …

This paper introduces a family of new customised methodologies for ensembles, called
Boosted Residual Networks, which builds a boosted ensemble of residual networks by …

An Artificial Neural Network with cross-connection is one of the most popular network
structures. The structure contains: an input layer, at least one hidden layer and an output …

RBF networks seem to be an interesting and efficient alternative for traditional sigmoid-
based neural networks. More sophisticated activation function makes a network more …

Standardową Sieć Neuronową zdefiniujemy jako zintegrowany moduł składający się z wielu
warstw, bez wewnętrznych sprzężeń zwrotnych i pełnym pokryciem wag w poszczególnych …

In the article, the emphasis is put on the modern artificial neural network (ANN) structure,
which in the literature is known as a deep neural network. A network includes more than one …

RBF networks seem to be an interesting and efficient alternative for traditional sigmoid-
based neural networks. More sophisticated activation function makes a network more …

Paper presents impact of the neural network architecture on the training effectiveness and
training time. Selected network architectures and training algorithm are described …

Sztuczne Sieci Neuronowe (SSN) okazały się wygodnym narzędziem, przydatnym przy
realizacji bardzo wielu różnych praktycznych zadań inżynierskich, ekonomicznych …

The problem of Artificial Neural Network (ANN) structure optimization related to the definition
of optimal number of hidden layers and distribution of neurons between layers depending …