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。
RNA secondary structure prediction is one of the most important fields in computational molecular biology.
RNA二级结构预测是计算分子生物学中的一个重要领域。
Finally, separation flow, secondary flow and multi-scale eddy structure are simulated, it indicates that SST model can give a good prediction of turbulence in the draft tube.
计算获得了分离流、二次流和多尺度旋涡结构，表明SST模型能很好地预测尾水管内的湍流流动。
Protein secondary structure prediction becomes the most important step of predicting the space conformation from protein molecule.
蛋白质二级结构预测是蛋白质结构预测的重要组成部分，是蛋白质结构预测最关键的步骤。
This is a web page of Classification and Secondary Structure Prediction of Membrane Proteins.
这是膜蛋白分类和二级结构预测在线工具的网页。
To improve the prediction results of protein secondary structure, we developed a neural network ensemble model based on dual-layer feed forward BP network.
为了提高蛋白质二级结构预测精度，本文尝试采用一种基于串联BP网络集成的二级结构预测模型。
One of the most important research areas in bioinformatics is RNA secondary structure prediction.
RNA二级结构预测问题是生物信息学的一个研究重点。
Protein secondary structure prediction is a fundamental and important component in the study of protein structure and functions.
蛋白质二级结构是研究蛋白质结构和功能的基础和重要组成部分。
Protein secondary structure prediction is a fundamental and important component in the study of protein structure and functions.
蛋白质二级结构是研究蛋白质结构和功能的基础和重要组成部分。
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