Neural network technologies in system synthesis
О. Филатова, Yu V Bashkatova, Л С Шакирова, М. Филатов
Abstract
Abstract Work of artificial neural networks does not ensure the identification of order parameters (which are the principal diagnostic characters x i in biomedicine). We suggest to eliminate the 1st type uncertainties (when samplings x i statistically match for different physiological states of a human body) by introducing random setting of initial weight values w io of x i and subsequent multiple repetition ( n ≥1000) of artificial neural network settings. The x i ranking is made according to the weight samplings w i collected after such settings are applied.
Topics & Concepts
Artificial neural networkRanking (information retrieval)BiomedicinePrincipal (computer security)Artificial intelligenceIdentification (biology)Computer sciencePattern recognition (psychology)Machine learningBiologyBioinformaticsOperating systemBotanyFusion and Plasma Physics StudiesTechnology and Human Factors in Education and Health