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Daesik Hong and Okan K. Ersoy, "Parallel, Self-Organizing Hierarchical Neural Networks", IEEE Trans. Neural Net., June 1990
[IEEE Trans. Neural Netw.]
조회 32458
Status : | Published |
---|---|
Date : | 1990-06 |
Title : | Parallel, Self-Organizing Hierarchical Neural Networks |
Authors : | Daesik Hong and Okan K. Ersoy |
Journal : | IEEE Transactions on Neural Networks |
Abstract : | A new neural-network architecture called the parallel, self-organizing, hierarchical neural network (PSHNN) is presented. The new architecture involves a number of stages in which each stage can be a particular neural network (SNN). At the end of each stage, error detection is carried out, and a number of input vectors are rejected. Between two stages there is a nonlinear transformation of input vectors rejected by the previous stage. The new architecture has many desirable properties, such as optimized system complexity (in the sense of minimized self-organizing number of stages), high classification accuracy, minimized learning and recall times, and truly parallel architectures in which all stages operate simultaneously without waiting for data from other stages during testing. The experiments performed indicated the superiority of the new architecture over multilayered networks with back-propagation training |
URL : | http://ieeexplore.ieee.org/xpl/articleDe...mber=80229 |
Ersoy, O.K.; Hong, D.; , "Parallel, self-organizing, hierarchical neural networks," Neural Networks, IEEE Transactions on , vol.1, no.2, pp.167-178, Jun 1990
doi: 10.1109/72.80229
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=80229&isnumber=2633
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