Title :
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
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;
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
DOI :
10.1109/ISCAS.1996.541604
