Abstract
The local cluster neural network (LCNN) is an alternative to RBF networks that performs well in digital simulation. The LCNN is suitable for an analog VLSI implementation that is attractive for a wide range of embedded neural net applications. In this paper, we present the input-output characterisation of LCNN analog chip. The effect of manufacturing variations on the chip’s function is investigated and analyzed.
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Zhang, L., Sitte, J., Rueckert, U. (2005). Local Cluster Neural Network Chip for Control. In: Ribeiro, B., Albrecht, R.F., Dobnikar, A., Pearson, D.W., Steele, N.C. (eds) Adaptive and Natural Computing Algorithms. Springer, Vienna. https://doi.org/10.1007/3-211-27389-1_28
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DOI: https://doi.org/10.1007/3-211-27389-1_28
Publisher Name: Springer, Vienna
Print ISBN: 978-3-211-24934-5
Online ISBN: 978-3-211-27389-0
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