Recursive sigmoidal neurons for adaptive accuracy neural network implementations | IEEE Conference Publication | IEEE Xplore

Recursive sigmoidal neurons for adaptive accuracy neural network implementations


Abstract:

This paper describes an accuracy programmable sigmoidal neuron design and its hardware implementation. The “recursive neuron” can be adjusted to produce recursively more ...Show More

Abstract:

This paper describes an accuracy programmable sigmoidal neuron design and its hardware implementation. The “recursive neuron” can be adjusted to produce recursively more accurate and smoother piecewise linear approximations to the sigmoidal neural squashing function. This adaptive accuracy neuron, combined with a constructive training algorithm, can be used as the basic component for the implementation of self adaptive neural processing systems able to optimize power consumption and processing speeds when operating in applications with changing performance requirements and varying operational constraints.
Date of Conference: 25-28 June 2012
Date Added to IEEE Xplore: 16 August 2012
ISBN Information:
Conference Location: Erlangen, Germany

References

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