The BP algorithm of Artificial Neural Networks and lots of experimental samples were used in training the BP model which succeeded in diagnosing four kinds of operational status.
应用神经网络的误差反向传播算法(BP)和大量的实测数据样本训练出了能在线诊断四种加工状态的BP模型并成功地诊断了实际加工状态。
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。
In this paper we have improved the BP algorithm in the processes of applying BP algorithm of artificial neural networks for the annual average sediment concentration in a watershed by multi-factors.
本文在用人工神经网络BP模型对流域年均含沙量进行多因素建模过程中，对BP算法进行了改进。
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