Extended backpropagation algorithm

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Extended backpropagation algorithm

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© The Institution of Electrical Engineers
Published

A fast learning algorithm for feedforward neural networks is described. This algorithm is based on modifications to the backpropagation algorithm. The learning rate and momentum coefficient are adapted according to the coefficient of correlation between the downhill gradient and the previous weight update.

Inspec keywords: feedforward neural nets; backpropagation

Other keywords: feedforward neural networks; fast learning algorithm; learning rate; backpropagation algorithm; coefficient of correlation; momentum coefficient; previous weight update; downhill gradient

Subjects: Neural nets (theory); Adaptive system theory

References

    1. 1)
      • L.B. Almeida , F.M. Silva . (1990) Acceleration techniques for the backpropagation algorithm, Lectures notes in computer science.
    2. 2)
      • Special Issue on intelligent control. Int. J. Contr.
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      • D.E. Rumelhart , G.E. Hinton , R.J. Williams , D.E. Rumelhart , J.L. McClelland . (1986) Learning internal representations by error back propagation, Parallel distributed processing: Explorations in the microstruture of cognition.
    4. 4)
      • B. Widrow , M.A. Lehr . 30 years of adaptive neural networks: Perceptron, Madaline and backpropagation. Proc. IEE , 9 , 1415 - 1442
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