NeSS : a simulation environment for behavioral design of neural networks for prediction and control
Articolo
Data di Pubblicazione:
1999
Citazione:
NeSS : a simulation environment for behavioral design of neural networks for prediction and control / C. Alippi, F. Casamatta, L. Furlan, A. Pelagotti, V. Piuri. - In: INTEGRATED COMPUTER-AIDED ENGINEERING. - ISSN 1069-2509. - 6:3(1999), pp. 223-232.
Abstract:
The NeSS (Neural Systems Simulator) environment is presented in this paper: it is a exible software package which has been developed to support, analyze and model dynamic non-linear systems for prediction, system identification and control applications, by providing both classical and innovative approaches within a exible and high-level framework. The behavior of each system is easily defined in a graphic way by interconnecting parametrized atomic objects (e.g., algebraic functions and neural networks), whose behaviors can be either predefined or identified by means of a learning procedure. Neural networks play a relevant role in NeSS: rich and easily expandable libraries are given which support different neural structures and learning algorithms.
Tipologia IRIS:
01 - Articolo su periodico
Elenco autori:
C. Alippi, F. Casamatta, L. Furlan, A. Pelagotti, V. Piuri
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