NESS: a simulation environment for behavioral design of neural networks for prediction and control

Author

Alippi, Cesare ; Casamatta, Fabio ; Furlan, Leonardo ; Pelagotti, Andrea ; Piuri, Vincenzo

Author_Institution

Dept. of Electron. & Inf., Politecnico di Milano, Italy

Volume

3

fYear

1996

fDate

12-15 May 1996

Firstpage

345

Abstract

NeSS (Neural Systems Simulator) is a flexible software environment for high level simulation, specialized to analyze and model dynamic nonlinear systems for identification and control applications. The behavior of each system constituting a project is simply defined in a graphic fashion by interconnecting atomic objects (e.g., algebraic functions, neural networks). Atomic objects are generally parameterized: their optimal values can be directly fixed by the user or identified by means of suitable training procedures

Keywords

control system CAD; digital simulation; identification; learning (artificial intelligence); neural nets; neurocontrollers; nonlinear dynamical systems; programming environments; NESS; algebraic functions; atomic objects; behavioral design; control applications; dynamic nonlinear systems; flexible software environment; high level simulation; identification; neural networks; simulation environment; training procedures; Analytical models; Computer networks; Differential algebraic equations; Graphics; Libraries; Network topology; Neural networks; Nonlinear control systems; Nonlinear equations; Predictive models;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1996. ISCAS '96., Connecting the World., 1996 IEEE International Symposium on

Conference_Location

Atlanta, GA

Print_ISBN

0-7803-3073-0

Type

conf

DOI

10.1109/ISCAS.1996.541604

Filename

541604