The dynamic optimization of learning parameters can adjust learning parameters dynamically and select optimal learning parameters.
随后，动态优化学习参数算法动态地调整和选取优化的学习参数。
Through adjusting weight, computing error rate and modifying the parameters of hidden nodes, optimal results will be achieved in the learning procedure.
学习过程通过调整权值、计算误差、修正隐层单元的参数，以达到最优结果。
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