Reconfigurable Acousto-optic Processor for Artificial Neural Network Training

September 1998


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Table of Contents

Reconfigurable Acousto-optic Processor for Artificial Neural Network Training

Outline

Project aims

Background Spatial light modulators

Background Acousto-optic effect

Background Acousto-optic devices

Background Calomel

Background The perceptron

Algorithm Matrix-vector multiplication

Experimental realisation

Experimental realisation (cont.)

PPT Slide

Experimental realisation Selective (spatial) frequency filtering

Experimental concerns Time-independent

Experimental concerns Time-dependent

Experimental concerns (cont.)

Perceptron learning

Perceptron learning Invariance of h due to weight-space normalisation

Recommendations

Conclusions

Future directions

Creating the system Representing negative weights

Creating the system Representing negative weights (cont.)

Author: T. Naughton

Email: tom.naughton@may.ie

Home Page: http://www.cs.may.ie/~tnaughton