{"pk":32858,"title":"The Role of Input and Target Similarity in Assimilation","subtitle":null,"abstract":"We investigate the situation in which some target values in the training set for a neural network are left unspecified. After training, unspecified outputs tend to assimilate to certain values as a function of features of the training environment. The roles of the following features in assimilation are analyzed: similarity between input vectors in the training set, similarity between target vectors, linearity versus non-linearity of the mapping, training set size, and error criterion. All are found to have significant effects on the assimilation value of an unspecified output node.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[],"section":"Paper Presentations -- Phonology and Word Recognition","is_remote":true,"remote_url":"https://escholarship.org/uc/item/6bx9k4dj","frozenauthors":[{"first_name":"Brian","middle_name":"T.","last_name":"Bartell","name_suffix":"","institution":"University of California, San Diego","department":""},{"first_name":"Garrison","middle_name":"W.","last_name":"Cottrell","name_suffix":"","institution":"University of California, San Diego","department":""},{"first_name":"Jeffrey","middle_name":"L.","last_name":"Elman","name_suffix":"","institution":"University of California, San Diego","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"1991-01-01T18:00:00Z","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/32858/galley/23918/download/"}]}