用前馈多层神经网络方法研究了高聚物的热力学性质。
The thermodynamical properties of polymers are studied using a BP artificial neural network model.
为了更好满足谐波测量的实时性和测量精度，我们进一步研究了基于多层前馈神经网络在谐波测量中的方法。
In order to improve the real-time and precision, the methods with multi-layer feed-forward neural networks are investigated more.
提出了一种利用多层前馈神经网络生成纹理图象的新方法。
In this paper, a new method to generate the texture image by use of Multi layer feed forward neural network is presented.
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