Notes on Modeling Problems Using Artificial Hydrocarbon Networks

Abstract

This chapter introduces several notes on using artificial hydrocarbon networks (AHNs) for modeling problems. In particular, it discusses some aspects on modeling univariate and multivariate systems, and designing linear and nonlinear classifiers using the AHN-algorithm. In addition, few inference and clustering applications are described. Finally, a review of the most important characteristics on artificial hydrocarbon networks in real-world applications are covered like how to inherit information with molecules, how to use information of parameters in AHN-structures and how to improve the training process of artificial hydrocarbon networks implementing a catalog of artificial hydrocarbon compounds.