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Daesik Hong and Okan K. Ersoy, "Parallel, Self-Organizing Hierarchical Neural Networks-II", IEEE Trans. Industrial Elec., April 1993
[IEEE Trans. Ind. Electron.]
조회 28796
Status : | Published |
---|---|
Date : | 1993-04 |
Title : | Parallel, Self-Organizing Hierarchical Neural Networks-II |
Authors : | Daesik Hong and Okan K. Ersoy |
Journal : | IEEE TRANSACTION ON INDUSTRIAL ELECTRONICS |
Abstract : | Parallel, self-organizing, hierarchical neural networks (PSHNNs) involve a number of stages with error detection at the end of each stage, i.e., rejection of error-causing vectors, which are then fed into the next stage after a nonlinear transformation. The stages operate in parallel during testing. Statistical properties and the mechanisms of vector rejection of the PSHNN are discussed in comparison to the maximum likelihood method and the backpropagation network. The PSHNN is highly fault tolerant and robust against errors in the weight values due to the adjustment of the error detection bounds to compensate errors in the weight values. These properties are exploited to develop architectures for programmable implementations in which the programmable parts are reduced to on-off or bipolar switching operations for bulk computations and attenuators for pointwise operations |
URL : | http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=222643 |
Ersoy, O.K.; Hong, D.; , "Parallel, self-organizing, hierarchical neural networks. II," Industrial Electronics, IEEE Transactions on , vol.40, no.2, pp.218-227, Apr 1993
doi: 10.1109/41.222643
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=222643&isnumber=5803
doi: 10.1109/41.222643
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=222643&isnumber=5803
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