文章在对流动资金需求量预测的传统方法进行分析的基础上，指出了神经网络方法的适用性。
On the basis of analyzing the traditional methods of flowing funds demand prediction, the paper points out suitability of the method of neural network.
缺乏现代企业的管理意识，对需求资金量及流量预测的重视程度不够等是使企业陷入流动资金紧缺的主要原因。
Lack of the management awareness on the modern enterprise, having no enough regards for the forecast of funds demand and cash flux are the main factors caused in short supply for circulating funds.
一方面，货币供应量的走势受到了金融市场中巨大的不确定性的影响，因而在一定程度上反映了投资者对于流动资金的强烈偏好。
On the one hand, monetary trends have been influenced by considerable uncertainty in financial markets and therefore partly reflect a strong liquidity preference among investors.
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