在这种情况下，它变得非常必要预测未来的回报率，以获得清晰的图象，做出准确的决定。
In such case, it becomes very necessary to have a prediction of future rate of return in order to get a clear picture in making precise decision.
本文把图象信号作为一个高阶非稳马尔柯夫过程，提出一种自适应预测编码方案。
This paper presents an adaptive prediction coding scheme for the image signals regarded as a high order nonstationary Markov process.
利用映射图象可以直观地剔除异常样本数据、选择优化决策变量和预测最优操作点和优化方向。
Using this mapping image can visually eliminate abnormal sample data, select decision variables and predict optimal operating point and direction for an industrial process.
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