Networks are used to model a wide range of phenomena in physics, computer science, biochemistry, ethology, mathematics, sociology, economics, telecommunications, and many other areas.
网络常用于对一系列现象进行建模，广泛应用于物理、计算机科学、生物化学、道德体系学、数学、社会学、经济学、通信学，及其他领域。
The flow noise transit time estimation is given on the basis of mathematics model and linear neural networks, then the flow velocity of gas-solid two phase flow is measured.
并以此为基础通过线性神经网络测量流动噪声的渡越时间，进而测出流速。
In this paper, a method of evaluation based on BP neural networks was put forward, using the method of AHP and fuzzy mathematics to evaluate the sample of neural networks.
本文提出一种利用BP神经网络进行评价的方法，并且对神经网络的样本评价采用了AHP以及模糊评价的方法。
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