Dynamic reduction problem is discussed and algorithm adding and reducing rules in the decision-making table dynamically are put foreword so as to reduce the computing complexity.
一方面分析了动态自主知识获取问题中的决策表动态约简问题，确定了在获得基本最小规则集后动态增加或减少规则的算法。
By extracting features, the authors can reduce redundancy, alleviate noise influence, and improve accuracy and efficiency in spectra classification.
通过特征提取，不仅能够约简数据、减少冗余，而且亦能抑制噪声干扰，对识别系统的精度和效率均有重要影响。
By extracting features, the authors can reduce redundancy, alleviate noise influence, and improve accuracy and efficiency in spectra classification.
通过特征提取，不仅能够约简数据、减少冗余，而且亦能抑制噪声干扰，对识别系统的精度和效率均有重要影响。
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