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Details van artikel 148 van 191 gevonden artikelen
| Titel: |
NeSS: a Simulation Environment for Behavioral Design of Neural Networks for Prediction and Control |
| Auteur: |
CESARE ALIPPI FABIO CASAMATTA LEONARDO FURLAN ANDREA PELAGOTTI VINCENZO PIURI |
| Verschenen in: |
Integrated computer-aided engineering |
| Paginering: | Jaargang 6 (2001) nr. 3 pagina's 223-232 |
| Jaar: |
2001-04-01 |
| Inhoud: |
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. |
| Uitgever: |
IOS Press |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 148 van 191 gevonden artikelen
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