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At least 541 records · Page 30Linked to original sources

On-chip learning with analogue VLSI neural networks.

Results from simulations of weight perturbation as an on-chip learning scheme for analogue VLSI neural networks are presented. The limitations of analogue hardware are modelled as realistically as possible. Thus synaptic weight precision is defined according to the smallest change in the weight setting voltage which gives a measurable change at the output of the corresponding neuron. Tests are carried out on a hard classification problem constructed from mobile robot navigation data. The simulations show that the degradation in classification performance on a 500-pattern test set caused by the introduction of realistic hardware constraints is acceptable: with 8-bit weights, updated probabilistically and with a simplified output error criterion, the error rate increases by no more than 7% when compared with weight perturbation implemented with full 32-bit precision.

Algorithms↗

Video display system for fetal and maternal monitoring.

Signals from different fetal and maternal monitoring equipment were combined in a video system. Analogue curves and digital figures were displayed on the same screen and included warning signals. Sweeps for different curves are selected individually. It is possible to show fast and slow changing parameters on the same screen. The system has great flexibility and signals from equipment from different manufacturers may be added easily.

Computers↗

A charge coupled transversal filter for biomedical signal conditioning.

The analysis and processing of biological signals is often hampered by the contamination of these low frequency, often low amplitude waveforms by motion artifact in fluid-filled catheter systems and skin electrodes, power line hum, and so on. Although noise suppression techniques have relied upon low pass filtration of the analog signals with active or passive RLC filters, even the most recent active RLC filter implementations display operational characteristics not entirely satisfactory for low frequency applications.

Analog-Digital Conversion↗