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358                  7. Pattern Recognition with Optics

                                  Interconnection
                                      Weights




















                         Input                      Output
                         Neurons                    Neurons
                     Fig. 7.3. A single-layer fully interconnected neural network.



        systems are difficult to program, in the sense of programming general-purpose
        digital computers. A purely optical system can be designed to perform specific
        tasks (analogous to a hard-wired electronic computer), but cannot be used
        when more flexibility is required. A second problem is that a system based on
        Fourier optics is naturally analog, which often makes great accuracy difficult
        to achieve. A third problem is that optical systems by themselves cannot easily



                   Interconnection
                      Weights



             Input
                                                               putput
             Signals                                            Signals




                                    Neuron

                          Fig. 7.4. A mathematical model of a neuron.
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