Constructive neural learning is a neural learning model that does not assume a fixed network topology before training begins. The main characteristic of this learning model is the dynamic construction of the network s ...

Machine learning is an area of Artificial Intelligence that deals with methods and techniques for implementing automatic learning in computational systems. This research work investigates a machine learning neural model ...

Several research studies have been realized in order to achieve a musical composition computational system that could, as much as possible, catch the human mind, skills, and creativity. More recently, artificial neural ...

This work focuses on the problem of automatic generation of fuzzy systems through evolutionary computation, specifically using the approach of co-evolution. Coevolution is based on the idea of modular modeling of the problem ...

One of the problems of natural language processing systems is to assure referential cohesion in a text. This property allows connecting the text constituents and making it readable. We address the anaphoric phenomenon as ...

The fact that Artificial Neural Networks (ANNs) are not able to explain, in a symbolic way, neither their decisions or the knowledge embedded in its connections and architecture is a well-known limitation. This work ...

Inductive machine learning methods learn the expression of the concept from a training set. Training sets are, generally, composed by instances described by attributevalue pairs and an associated class. The attribute set ...

This master thesis describes an intelligent classifier system applied to multiclass non-linearly separable problems called Slicer. The system adopts a low computacional cost supervised learning strategy (evaluated as ) ...

In the search for competitive advantages, companies of the manufacture industry segment have been investing in the production flexibility and processes automation, looking for assisting a variety of types of products, ...

This dissertation presents an automatic summarizer of Web documents based on both HTML tags and ontological knowledge. It has been derived from two independent approaches: one that focuses solely upon HTML tags, and another ...