title: Structure optimization of neural networks with A* -algorithm application in EEG pattern analysis.
abstract: The A* - Algorithm for heuristic search is applied to construct a Neural Network structure (NS) that optimally fits the structure of data to be learned. In this way, the user of Neural Networks (NN) is able to avoid the empirical testing of different structures. The method given here is applied to the recognition of different patterns derived from the EEG of an epileptic patient.
authors.affiliation: Institute of Medical Statistics, Computer Sciences and Documentation, Friedrich-Schiller-University Jena, D-07743 Jena, Germany.
authors.forename: A
authors.initials: A
authors.lastname: Doering
authors.forename: M
authors.initials: M
authors.lastname: Galicki
authors.forename: H
authors.initials: H
authors.lastname: Witte
authors.forename: V
authors.initials: V
authors.lastname: Krajca
mesh_terms: D000465:Algorithms; D004569:Electroencephalography / Q000145:classification*; D004827:Epilepsy / Q000175:diagnosis; D006801:Humans; D016571:Neural Networks, Computer; D010363:Pattern Recognition, Automated