Neural Networks; Universal Approximator; Fuzzy Transform

This chapter focuses on the so-called model-driven approach todata analysis. This approach is closely related to the computations performed by neural networks since the latter follow a specific procedure for transforming the original data into a formwell suited to solving the original, usually external, problem. Thegoal of this transformation is to represent the original data usingfeature vectors that carry sufficient information to solve the external problem. In this chapter, we propose a feature extractiontechnique based on fuzzy modeling in general and, in particular, using the theory of fuzzy transforms (F-transforms).

This chapter focuses on the so-called model-driven approach todata analysis. This approach is closely related to the computations performed by neural networks since the latter follow a specific procedure for transforming the original data into a formwell suited to solving the original, usually external, problem. Thegoal of this transformation is to represent the original data usingfeature vectors that carry sufficient information to solve the external problem. In this chapter, we propose a feature extractiontechnique based on fuzzy modeling in general and, in particular, using the theory of fuzzy transforms (F-transforms).