title: String matching artificial neural networks.
abstract: Three artificial neural networks (ANNs) are proposed for solving a variety of on- and off-line string matching problems. The ANN structure employed as the building block of these ANNs is derived from the harmony theory (HT) ANN, whereby the resulting string matching ANNs are characterized by fast match-mismatch decisions, low computational complexity, and activation values of the ANN output nodes that can be used as indicators of substitution, insertion (addition) and deletion spelling errors.
authors.affiliation: Institute of Nuclear Technology-Radiation Protection, NCSR "Demokritos", Aghia Paraskevi 153 10, Athens, Greece. tatiana@ipta.demokritos.gr
authors.forename: T
authors.initials: T
authors.lastname: Tambouratzis
mesh_terms: D001185:Artificial Intelligence; D003198:Computer Simulation; D006801:Humans; D016555:Matched-Pair Analysis; D008954:Models, Biological; D016571:Neural Networks, Computer; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted