Catastrophic forgetting (CF) refers to the sudden and severe loss of prior information in
learning systems when acquiring new information. CF has been an Achilles heel of standard …

During the last decade, a significant research progress has been drawn in both the
theoretical aspects and the applications of Deep Learning Neural Networks. Besides their …

The map** capability of artificial neural networks (ANN) is dependent on their structure, ie,
the number of layers and the number of hidden units. There is no formal way of computing …

In the recent years Deep Learning has attracted a lot of attention due to its success in difficult
tasks such as image recognition and computer vision. Most of the success in these tasks is …

Abstract The Oncotype DX (ODX) breast cancer assay is the worldwide most common and
used Gene Expression Profiling (GEP) test. This ODX assay has a great impact on Adjuvant …

Competitive majority network trained by error correction (C-Mantec), a recently proposed
constructive neural network algorithm that generates very compact architectures with good …

This thesis takes an empirical approach to understanding of the behavior and interactions
between the two main components of reinforcement learning: the learning algorithm and the …

In this work we present a constructive algorithm capable of producing arbitrarily connected
feedforward neural network architectures for classification problems. Architecture and …

The techniques currently developed for updating software in sensor nodes located in
changing environments require usually the use of reprogramming procedures, which clearly …

Artificial neural networks (ANNs) were originally inspired by the brain; however, very few
models use evolution and development, both of which are fundamental to the construction of …