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Enhanced reliability of multilayer perceptron networks through controlled pattern rejection

Enhanced reliability of multilayer perceptron networks through controlled pattern rejection

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© The Institution of Electrical Engineers
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Backpropagation networks are studied in the context of the recognition of handwritten and machine printed characters and, specifically, the problem of the recognition of ‘false—positive’ patterns is investigated. The idea is proposed of integrating into the processing architecture an independent set of ‘guard units’ which act as basic matchers, rejecting patterns not belonging to the training classes.

Inspec keywords: backpropagation; optical character recognition; feedforward neural nets

Other keywords: handwritten character recognition; machine printed character recognition; recognition of false patterns; controlled pattern rejection; OCR; multilayer perceptron networks; basic matchers; reliability enhancement; unknown characters rejection; false recognition prevention; backpropagation networks

Subjects: Character recognition; Neural nets (circuit implementations); Neural computing techniques; Neural nets (theory)

References

    1. 1)
      • D.E. Rumelhart , G.E. Hinton , R.J. Williams , D.E. Rumelhart , J.L. McClelland . (1986) Learning internal representations by error propagation, Parallel distributed processing.
    2. 2)
      • Linden, A., Kindermann, J.: `Inversion of multilayer nets', Proc. IJCNN, 1989, Washington.
    3. 3)
      • Y. Lee . Handwritten digit recognition using K nearest neighbour, radial basis function, and backpropagation neural networks. Neural Comput. , 440 - 449
    4. 4)
      • Y. Lecun , B. Boser , J.S. Denker , D. Henderson , R.E. Howard , W. Hubbard , L.D. Jackel . Backpropagation applied to handwritten zip code recognition. Neural Comput. , 541 - 551
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