6533b7dcfe1ef96bd12728dc

RESEARCH PRODUCT

Unknown order process emulation

A. MihalacheDaniel VoloviciMacarie Breazu

subject

Set (abstract data type)EmulationRate of convergenceTime delay neural networkComputer scienceControl theoryComputer Science::Neural and Evolutionary ComputationLinear systemFeedforward neural networkBackpropagation

description

Approaches the emulation problem using feedforward neural networks of single input single output (SISO) processes, applying a backpropagation method with a higher convergence rate. In this kind of application, difficult problems appear when the system's order is a priori unknown. A search through the SISO processes space is proposed, aiming to find a favorable neural emulator over the training examples set.

yearjournalcountryeditionlanguage
2002-11-13IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222)
https://doi.org/10.1109/ijcnn.2001.939552