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    Chapter and Conference Paper

    Convergence of Chaos Injection-Based Batch Backpropagation Algorithm For Feedforward Neural Networks

    This paper considers the convergence of chaos injection-based backpropagation algorithm. Both the weak convergence and strong convergence results are theoretically established.

    Huisheng Zhang, **aodong Liu, Dongpo Xu in Advances in Neural Networks – ISNN 2013 (2013)

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    Chapter and Conference Paper

    Convergence of Gradient Descent Algorithm for a Recurrent Neuron

    Probabilistic convergence results of online gradient descent algorithm have been obtained by many authors for the training of recurrent neural networks with innitely many training samples. This paper proves de...

    Dongpo Xu, Zhengxue Li, Wei Wu, **aoshuai Ding in Advances in Neural Networks – ISNN 2007 (2007)