The mathematic frame of the neural network and error backpropagationalgorithm were introduced.
介绍了小波神经网络的数学框架及其误差反向学习算法。
2
In this model, backpropagationalgorithm based on forward networks was conducted to learn information of historical data and to train the network weights.
以人工神经网络的前馈型网络为基础结构,基于反向传播算法进行学习和训练来拟和证券价格指数的运动趋势。
3
Feedforward networks use backpropagationalgorithm to train a multi-layer network. After training, the multi-layer network can fit the function in the data space very well.