青云翻译

在这项工作中，一个三层前馈网络已被用来发展模式。在学习过程中所使用的学习方法是一个梯度下降的时刻体重变化和历史的学习经验。为一个给定的神经元在双层k（I，J）的权重调整计算表示为：

In this work, a three-layer feed-forward network has been used in developing the model. The learning method used during the learning process is a gradient descent with moment weight change and historical learning experience. The calculation of the weight adjustment for a given neuron (i, j) at layer

In this work, a three-layer feed-forward network has been used in developing the model. The learning method used during the learning process is a gradient descent with moment weight change and historical learning experience. The calculation of the weight adjustment for a given neuron (i, j) at layer

In this work, a three-layer feed-forward network model has been used in developing the learning method used during The . The learning process is a gradient descent with historical moment weight change and learning experience The . The calculation of weight adjustment for a given neuron layer (i, j)

In this work, a three-layer feed-forward network has been used in developing the model. The learning method used during the learning process is a gradient descent with moment weight change and historical learning experience. The calculation of the weight adjustment for a given neuron (i, j) at layer