title: Maryland MIRRORS/II: a connectionist model simulator.
abstract: Developing and evaluating connectionist models (also called neural models) is a difficult and time-consuming task. To address this issue, we designed a software system called Maryland MIRRORS/II for the construction of connectionist models in biomedicine and other fields. Maryland MIRRORS/II is distinguished from previous and current related systems by its support of a high-level nonprocedural language, a general-purpose event-handling mechanism, and an indexed library of system resources. These features make Maryland MIRRORS/II a convenient software tool for use in biomedicine. This paper describes Maryland MIRRORS/II and provides a simple example in which it uses error back propagation learning to select the appropriate treatment for a given set of manifestations.
authors.affiliation: University of Maryland.
authors.forename: C L
authors.initials: CL
authors.lastname: D'Autrechy
authors.forename: J A
authors.initials: JA
authors.lastname: Reggia
authors.forename: G G
authors.initials: GG
authors.lastname: Sutton
authors.forename: S M
authors.initials: SM
authors.lastname: Goodall
mesh_terms: D003198:Computer Simulation; D008959:Models, Neurological; D011381:Programming Languages; D012984:Software; D012985:Software Design