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  Modeling and evolutionary learning of modular neural networks (2001) [1 citations — 1 self]

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by Qiangfu Zhao
Proc. The 6-th International Symposium on Artificial Life and Robotics
http://www.u-aizu.ac.jp/~qf-zhao/CONTRIBUTION/arob-vi.ps.Z
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Abstract:

In the last decade, a number of neural network models have been proposed in the literature. Some of them have been successfully incorporated in different intelligent information processing systems. Among these models, a group of most successful ones are the modular neural networks (MNNs). This paper introduces a general model of MNNs, and proposes a neural network tree (NNTree) model. An evolutionary algorithm is also given for designing the NNTrees. The usefulness of the NNTrees and the effectiveness of the learning algorithm are verified through experiments with a digit recognition problem. 1

Citations

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