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神经网络中的深度学习 Deep Learning in Neural Networks
模糊神经网络的学习算法采用的是快速的粒子群优化算法。
A fast stochastic global optimization algorithm, particle group optimization algorithm, was used for training the fuzzy neural network.
此目标函数的优化速度快，大大提高了前馈神经网络的学习效率。
The target function's optimal velocity is high, so it can boost learning efficiency of feed forward neural networks.
为了避免神经网络的学习过程陷入局部极值点，采用人工免疫网络优化神经网络的参数。
In order to prevent neural network learning from getting into local extreme point, artificial immune network algorithm was used to optimize neural network's parameters.
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