Microcircuit learning nets: improved recognition by means of pattern feedback

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Microcircuit learning nets: improved recognition by means of pattern feedback

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© The Institution of Electrical Engineers
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Pattern feedback is a new concept in learning networks of adaptive microcircuits. The net is trained to produce a model output pattern. During use, the output patterns are fed back to the input. Recognition of an input pattern takes place if a stable model output pattern is generated.

Inspec keywords: cybernetics; networks (circuits)

Subjects: Pattern recognition

References

    1. 1)
      • Aleksander, I., Albrow, R.C.: `Pattern recognition with adaptive logic elements', Proc. IEE-NPL conference on pattern recognition, July 1968.
    2. 2)
      • I. Aleksander , R.C. Albrow . Microcircuit learning nets: some tests with handwritten numerals. Electron. Lett. , 406 - 407
    3. 3)
      • R.C. Albrow , I. Aleksander , P.J.W. Noble . An adaptable universal m.o.s.t. monolith. Electronic Commun.
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