This algorithms has been widely used in machine learning, artificial intelligence, adaptive control, artificial neural network training, Image processing, among other areas.
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。
Based on the powerful nonlinear reflection and training function of artificial neural networks, the model of BP neural network for foundation piles integrity testing is put forward.
利用人工神经网络强大的非线性映射能力和学习训练功能，提出了基于BP网络的基桩完整性检测模型。
Method the artificial neural network and the advanced BP training arithmetic operations based on momentum factor technique are used.
方法采用人工神经网络方法和基于动量因子技术的改进BP网络训练算法。
The initial weights and biases of the artificial neural network(ANN)are obtained by offline training method.
人工神经网络（ANN）的初始权值和阈值通过离线训练的方式获得。
The training model of test simulation for car of inverted pendulum based on BP algorithm of artificial neural networks (ANN) is a BP network that has 4-input and 3-layer structure.
基于人工神经网络BP算法的倒立摆小车实验仿真训练模型，其倒立摆BP网络为4输入3层结构。
Probabilistic neural network (PNN) model is a kind of artificial neural network, which is simple in structure, easy for training and widely used.
概率神经网络(PNN)是一种训练速度快、结构简洁明了、应用广泛的人工神经网络。
Meanwhile, the length of time on training sample was determined as the recent complete economic cycle when using artificial neural network for railway freight volume forecasting.
并提出在利用人工神经网络进行铁路货运量预测时，训练样本的时间长度为最近的一个完整经济周期。
Secondly, new B3LYP functional is constructed combined artificial neural network (ANN) with enlarged training set and the new B3LYP functional is adopted to calculate the molecular energies.
其次，采用人工神经网络方法（ANN）和扩大训练基组构建新B3LYP泛函，并将新泛函用于分子能量的计算。
To select feature samples in circuit fault diagnosis, we propose a method of cloud-sample generation, and apply it to artificial-neural-network training and recognition.
为了选择电路故障诊断中的特征样本，提出了产生云样本的方法，并用于神经网络的训练和识别。
Furthermore, it will greatly enhance the speed of training if some proper mathematic techniques are adopted in the application of artificial neural network to identifying similar big sample system.
此外，在利用人工神经网络对类似的大样本系统进行辨识时，如果能采用一些数学上的处理技巧。
By reduction processing to the import space, this method adopts artificial neural network for data mining on the reduced training data.
通过属性约简技术对神经网络的输入属性空间进行约简，采用神经网络对约简后的数据进行挖掘。
By reduction processing to the import space, this method adopts artificial neural network for data mining on the reduced training data.
通过属性约简技术对神经网络的输入属性空间进行约简，采用神经网络对约简后的数据进行挖掘。
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