Browsing by Subject "Feedforward neural networks"

Conference Object

Adaptive disturbance rejection for disk drives using neural networks

Levin, J.; Pérez Arancibia, N. O.; Ioannou, Petros A.; Tsao, T. -C (2008)

This paper presents the experimental verification of an adaptive feedforward disturbance rejection scheme for hard disk drives. The control scheme is shown to reduce the error during track-following by as much as 11.8%. ...

Conference Object

Application of feature extractive algorithm to bankruptcy prediction

Charalambous, Chris; Charitou, Andreas; Kaourou, Froso (IEEE, 2000)

This study uses the feature selection algorithm proposed by Setiono and Liu to select the most relevant features for the bankruptcy prediction problem. The method uses a feedforward neural network with one hidden layer to ...

Conference Object

Comparative analysis of artificial neural network models: Application in bankruptcy prediction

Charalambous, Chris; Charitou, Andreas; Kaourou, Froso (IEEE, 1999)

This study compares the predictive performance of three neural network methods, namely the Learning Vector Quantization, Radial Basis Function, the Feedforward network that uses the conjugate gradient optimization algorithm, ...

Article

High-order neural network structures for identification of dynamical systems

Kosmatopoulos, E. B.; Polycarpou, Marios M.; Christodoulou, M. A.; Ioannou, P. A. (1995)

Article

Improved detection of breast cancer nuclei using modular neural networks

Schnorrenberg, F.; Tsapatsoulis, Nicolas; Pattichis, Constantinos S.; Schizas, Christos N.; Kollias, S.; Vassiliou, M.; Adamou, Adamos K.; Kyriacou, Kyriacos C. (2000)

A modular neural network-based approach to detect and classify breast cancer nuclei stained for steroid receptors in hispathological sections is evaluated. The system named biopsy analysis support system (BASS) is designed ...

Conference Object

Neural networks as on-line approximators of nonlinear systems

Polycarpou, Marios M.; Ioannou, P. A. (1992)

Conference Object

Neural Networks in Comparing USN and Wageningen B-Series Marine Propellers

Neocleous, Costas K.; Schizas, Christos N. (2003)

The USN-series of experimental data on marine propeller performance (Denny et al, 1989) were compared with fitted Wageningen B-Series data. A Kohonen network has been used to attempt finding non-obvious similarities between ...

Article

Sensitivity analysis of a neural network used for the forecasting of electric power load

Neocleous, Costas K.; Papazoglou, Thales M.; Schizas, Christos N.; Stratakis, Dimitrios I. (1999)

A feedforward multilayer neural network has been used for the estimation of the four-hour-ahead electric load in Power Plant in the island of Crete. An attempt was made to use few variables for the input vector, while ...

Conference Object

Study on the effects of environmental factors for the forecasting of electric power load

Neocleous, Costas C.; Schizas, Christos N. (IEEE, 2000)

A feedforward multilayer neural network has been used for the estimation of the four-hour-ahead electric load in a Power Plant in the island of Crete. An attempt was made to use few variables for the input vector, while ...