Neural networks have been used as a mechanism of knowledge acquisition for expert system in stock market forecasting with astonishingly accurate results.
神经网络已被用为股票市场预测专家系统的知识获取的一种机制，并取得了惊人的准确结果。
As a result, it is necessary to replace the traditional statistic model with nonlinear model that can deal with imperfective information in order to improve the quality of forecasting stock market.
股市的运行是一个非常复杂的不完备的非线性过程，因此，需要用对不完备信息进行处理的非线性模型代替传统的统计模型，以便进一步提高股市预测的质量。
However there are lots of problems in the supply chain management, demand forecasting deviated real market demand, severe bullwhip effects, the high stock costs and low level of service, etc.
但是供应链管理中存在着需求预测偏离市场、牛鞭效应严重、库存成本高、服务水平低等问题。
However there are lots of problems in the supply chain management, demand forecasting deviated real market demand, severe bullwhip effects, the high stock costs and low level of service, etc.
但是供应链管理中存在着需求预测偏离市场、牛鞭效应严重、库存成本高、服务水平低等问题。
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