Markov Bernstein inequality for cardinal spline played an important role in its properties.
基样条函数的M - B型不等式是其十分重要的性质。
This paper presents a new method based on Attribute Theory and Bernstein Basic Function fitting after thorough study of stock investment and prediction technology.
本文在深入分析股票投资理论和股价预测方法的基础上，提出了利用属性论方法和波恩斯坦基函数拟合技术的股市预测算法。
Markov-Bernstein inequality for cardinal spline played an important role in its properties.
基样条函数的M-B型不式是其十分重要的性质。
Markov-Bernstein inequality for cardinal spline played an important role in its properties.
基样条函数的M-B型不式是其十分重要的性质。
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