Teodor Marcu

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The paper considers the development of a new type of artificial neural network and its applicability to non-linear system identification. This is the functional-link neural network with internal dynamic elements. The net consists of a single layer where the non-linearity is firstly introduced by enhancing the input pattern with a functional expansion. The(More)
The contribution concerns the design of a generalised functional-link neural network with internal dynamics and its applicability to system identification by means of multi-input single output non-linear models of auto-regressive with exogenous inputs' type. An evolutionary search of genetic type and multi-objective optimisation in the Pareto-sense is used(More)
The paper addresses the development of neural observer schemes for process fault diagnosis. The design is based on a generalised functional-link neural network with internal dynamics. An evolutionary search of genetic type and multi-objective optimisation in the Pareto-sense is used to determine the optimal architecture of the dynamic network. Symptoms(More)
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