The ability of artificial agents to increment their capabilities when confronted with new data is
an open challenge in artificial intelligence. The main challenge faced in such cases is …

When using evolutionary algorithms to solve constrained multi-objective optimization
problems, both the constraint handling technique and the search operator play a crucial role …

The paper sheds light on the use of a self-learning GNG neural network for identification and
exploration of the purchasing behaviour patterns. The test has been conducted on the data …

Online learning approach allows an Artificial Neural Network (ANN) to solve dynamic real-
world problems. In this context, the objective of this work is to implement ANN-based voice …

The twenty-first century has been a time of significant changes in the lives of many societies
worldwide. The constantly increasing access to the web has changed many aspects of …

O reconhecimento de fala para robôs é um campo multidisciplinar que envolve
processamento de sinais e novos modelos de aprendizagem de máquina. Entre suas …

The size, complexity and dimensionality of data collections are ever increasing from the
beginning of the computer era. Clustering methods, such as Growing Neural Gas (GNG)[10] …