Abstract

The paper describes an immunogenetic approach to recognize spectra for chemical analysis. In particular, an immunological model for chemical reactions is introduced in which a population of specialists for each of the possible products was evolved using a genetic algorithm. Accordingly, a small well-trained specialist library is established and tested their recognition ability with real dataset (Raman Spectra). Our experiments produced very encouraging results in finding the correct products responsible for an input spectrum, epecificially, for a composite spectrum in which there are multiple products physically mixed and it would be very difficult to interpret otherwise. 1. INTRODUCTION The natural immune system protects the body from a large variety of bacteria, viruses, and other pathogenic organisms. It recognizes foreign cells and molecules by producing antibody molecules that physically bind with antigens (or antigenic peptides). In order for the antigen and antib...

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