Neural Nets as Systems Models
نویسنده
چکیده
This paper brie BLOCKINy surveys some recent results relevant to the suitability of \neural nets" as models for dynam-ical systems as well as controllers for nonlinear plants. In particular, it touches upon questions of approximation , identiability, construction of feedback laws, clas-sication and interpolation, and computational capabilities of nets. No discussion is included of \learning" algorithms, concentrating instead on representational issues.
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تاریخ انتشار 1992