目前这类算法已被广泛应用于机器学习，人工智能，自适应控制，人工神经网络训练，图像处理等各个方面。
This algorithms has been widely used in machine learning, artificial intelligence, adaptive control, artificial neural network training, Image processing, among other areas.
将人工神经网络理论和算法应用于双辉离子渗碳的研究，在对人工神经网络训练的基础上，建立了双辉离子渗碳工艺与渗层性能预报的数学模型。
On the basis of the training of network, the mathematics model on the relationship between double glow plasma carbonizing and prediction of properties is built.
深度学习是指训练多层的人工神经网络的方法。
Deep learning refers to the method of training multi-layer artificial neural networks.
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