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。
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.
低同源蛋白质的二级结构预测至今仍然是一个困难的问题。
Prediction of lowly homological protein secondary structure is still a difficult problem up to now.
RNA二级结构预测问题是生物信息学的一个研究重点。
One of the most important research areas in bioinformatics is RNA secondary structure prediction.
RNA二级结构预测是计算分子生物学中的一个重要领域。
RNA secondary structure prediction is one of the most important fields in computational molecular biology.
方法：建立药品二级库存储模式，实行药品分类管理，预测药品的需求，运用库存模型定量计算补货批量。
METHODS:A second order medicine inventory model was built to realize medicine classifying management and drug demand forecasting, and replenishment quantities was computed using inventory model.
本文讨论了一个预测rna二级结构的回溯算法。
In this paper a backtrack algorithm for predicting RNA secondary structure is described.
用电子计算机方法可以预测球形蛋白质二级结构。
A computerized method is made to predict the secondary structure of globular proteins.
在线用蛋白质二级结构预测软件分析MAGE - 4抗原表位，PCR获取MAGE - 4抗原特征表位基因。
Analyze MAGE-4 antigen epitope by online predict software of protein secondary structure and amplify the epitope gene by PCR.
本文主要论述了神经网络在预测蛋白质二级结构方面的进展以及存在的问题。
Progress and problems in the field of predicting protein secondary structure by neural networks are presented in this paper.
这是膜蛋白分类和二级结构预测在线工具的网页。
This is a web page of Classification and Secondary Structure Prediction of Membrane Proteins.
这个规律和其他一些结果有助于了解氢键在肽链折选中的作用，对于如何从线性链预测二级结构的问题可能有重要的参考价值。
The law and other results will be useful for analysing the role of hydrogen bonds in peptide folding, which may be important for prediction of protein secondary structures.
本文中，我们利用数据挖掘得到的统计信息数据库对蛋白质的二级结构进行了预测。
However this process is quite tough. Here our statistical information database by data mining is used for predicting protein secondary structure.
RNA二级结构预测方法可以分为基于热力学的预测方法和基于系统发生学的预测方法两大类。
The methods for RNA secondary structure prediction can be divided into two categories which are the methods based on thermodynamics and phylogenetics.
文章提出一种基于迭代法预测带伪结rna二级结构的新方法。
Here we present a new method for predicting RNA secondary structures including pseudoknots through iteration.
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。
To improve the prediction results of protein secondary structure, we developed a neural network ensemble model based on dual-layer feed forward BP network.
论文的另一个研究主题是蛋白质二级结构的预测方法。
Another research subject is the prediction of protein secondary structure.
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。
Protein secondary structure prediction becomes the most important step of predicting the space conformation from protein molecule.
结合模型预测控制策略，设计了高压钠灯连续调光二级控制系统。
Based on the strategy of constrained model predictive control, a two degree control system is designed for continuous light tuning of a high pressure sodium lamp.
基于经典的线性预测回归模型，引入了模糊因素对预测结果的影响，构成了二级模糊因素的多元线性回归法。
Based on the classical model of liner regression and considering effects of fuzzy factors on load forecasting, a liner regression method of tow-layer fuzzy factors for load forecasting is established.
发光二级管的应用进程速度大大超过了专家两年前的预测。
The switch to LEDs is proceeding far more rapidly than experts had predicted just two years ago.
当咨询到全球光伏展望，Kuban博士预测了2013年全球光伏市场增量将达到18-25GW，而这样的增量很大程度上将由目前的二级市场所贡献。
When asked about the global outlook, Dr. Kuban predicted a total market size of 18-25 GW by the end of 2013, a growth that will for a significant part be stimulated by today's second tier markets.
在生物大分子rna序列二级结构预测的算法中使用了回溯算法，并对RNA二级结构预测的结果实现图形表示。
A recalling algorithm is used on calculating RNA's secondary structure, and then expresses it's result in graphics.
表明： 基于氨基酸组成和有偏自协方差函数为特征矢量的BP神经网络预测蛋白质二级结构含量的方法可有效提高预测精度。
It is shown that the BP neural network method combined with the amino-acid composition and the biased auto-covariance function features could effectively improve the prediction accuracy.
摘要：介绍了构造性机器学习方法——覆盖算法在蛋白质二级结构预测中的应用。
Absrtact: Mainly introduces protein secondary structure prediction based on structural machine learning-covering algorithm.
针对基于传统BP算法的前向神经网络预测网络流量方法的不足，构建了一种二级的网络流量预测-校正模型。
For the shortages of the method in which network flux is predicted by forward neural network based on traditional BP algorithm, a 2-level network flux predict-adjust model is constructed.
利用二级模糊综合评判原理对无游梁式抽油机曲柄销的可靠度进行预测。
Using the two - level fuzzy comprehensive theory for the realibilty testing of the crank pin in the non - beam pump is discussed in this article.
利用二级模糊综合评判原理对无游梁式抽油机曲柄销的可靠度进行预测。
Using the two - level fuzzy comprehensive theory for the realibilty testing of the crank pin in the non - beam pump is discussed in this article.
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