作者: Alexander Frederick Woolaston , Herman Raadsma , Bruce Tier , Gerhard Christian Moser
DOI:
关键词: Set (abstract data type) 、 Genome 、 Population 、 Engineering 、 Space (commercial competition) 、 Selection (genetic algorithm) 、 Artificial intelligence 、 Dimensionality reduction 、 Function (mathematics) 、 Machine learning 、 Process (computing)
摘要: The present invention provides a method and system for the prediction of merit at least one individual in population, comprising steps of: (a) where information individuals are known, using dimension reduction on to project low dimensional space whilst retaining complexity generate set explanatory variables; (b) utilising variables predictor function with respect merit; (c) predict individual.