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Showing 1 to 2 of 2 for “"constructive neural networks"”.

  1. Constructive neural networks with applications to image compression and pattern recognition

    The theory of Neural Networks (NNs) has witnessed a striking progress in the past fifteen years. The basic issues, such as determining the structure and size of the network, and developing efficient training/learning strategies have been extensively investigated. This thesis is mainly focused on …

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  2. Constructive spiking neural networks for simulations of neuroplasticity

    Artificial neural networks are important tools in machine learning and neuroscience; however, a difficult step in their implementation is the selection of the neural network size and structure. This thesis develops fundamental theory on algorithms for constructing neurons in spiking neural networks

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