Protein second structure data is chosen as main study object, and data mining and dynamic programming are applied to protein structure classification.
本文选择蛋白质二级结构数据为主要的研究对象，应用数据挖掘技术和机器学习中的动态规划理论进行蛋白质结构分类。
Protein structure classification is based on several levels. In recent years, the topic is to find methods to classify and analyze automatically protein structure.
蛋白质结构分类分为多个层次，如何对蛋白质结构进行定量分类和自动分析是目前研究的重点。
Aiming at solving the complicated non-linear pattern classification problem of protein secondary structure prediction, a new method based on radial basis function is proposed.
文章针对蛋白质二级结构预测这一复杂非线性模式分类问题，提出了基于径向基函数的预测方法。
Protein structure class classification experiment reveals that this algorithm can effectively enhance the accuracy of recognition, so it may have application value.
实验表明：该算法可有效提高分类精度，因此具有一定的应用价值。
Protein structure class classification experiment reveals that this algorithm can effectively enhance the accuracy of recognition, so it may have application value.
实验表明：该算法可有效提高分类精度，因此具有一定的应用价值。
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