电梯零速停靠的RBF神经网络预测算法

针对电梯运行过程中存在爬行距离的问题,提出了基于RBF(Radial Basis Function)神经网络的爬行距离预测模型.将预测的爬行距离增加到电梯速度曲线的匀速段,实现减小或消除爬行距离的目的,从而实现电梯的零速停靠.从电梯运行现场采集大量的原始数据,建立RBF神经网络预测模型,与BP(Back Propagation)预测方法进行仿真比较,结果表明RBF神经网络具有更好的预测效果.给出了应用零速停靠RBF预测算法前后电梯运行的速度曲线,爬行距离减小或消除,电梯的运行时间变短,实现了节能.     

Application of ACO algorithm in protein structure prediction

The hydrophobic-polar (HP) lattice model is an important simplified model for studying protein folding. In this paper, we present an improved ACO algorithm for the protein structure prediction. In the algorithm, the "lone"ethod is applied to deal with the infeasible structures, and the "oint mutation and reconstruction"ethod is applied in local search phase. The empirical results show that the presented method is feasible and effective to solve the problem of protein structure prediction, and notable improvements in CPU time are obtained.     

A study of structural determinants in the interleukin-1 fold

The structures of interleukin-1ß, basic fibroblastgrowth factor and Erythrina trypsin inhibitor have been analysedin order to determine whether the hydrophobic core remains conserved,even when the structures have extremely low sequence similarities.We find that there are significant differences in the way eachprotein achieves a satisfactory arrangement of core residuesand that positions which contribute to the core of one structureare not guaranteed to contribute to the integrity of another.Furthermore, the side-chain packing arrangements of these coreresidues vary significantly between the three structures. Duringthis analysis the side-chain rotamers for three independentlydetermined interleukin-1ß structures were also compared.It was found that although buried residues are generally inagreement the remaining residues frequently occupy differentrotamers in the three structures. This suggests that althoughmeaningful studies are possible for buried side-chains the resultsobtained from equivalent analyses of accessible residues shouldbe treated with caution. These results are discussed with specificreference to the optimization of side-chain packing in proteinsof known structure.     

A predicted three-dimensional structure of human cytochrome P450: implications for substrate specificity

A three-dimensional structure for human cytochrome P450IA1 waspredicted based on the crystal coordinates of cytochrome P450camfrom Pseudomonas putida. As there was only 15% residue identitybetween the two enzymes, additional information was used toestablish an accurate sequence alignment that is a prerequisitefor model building. Twelve representative eukaryotic sequenceswere aligned and a net prediction of secondary structure wasmatched against the known -helices and ß-sheets ofP450cam. The cam secondary structure provided a fixed main-chainframework onto which loops of appropriate length from the humanP450IA1 structure were added. The model-built structure of thehuman cytochrome conformed to the requirements for the segregationof polar and nonpolar residues between the core and the surface.The first 44 residues of human cytochrome P450 could not bebuilt into the model and sequence analysis suggested that residues1–26 formed a single membrane-spanning segment. Examinationof the sequences of cytochrome P450s from distinct gene familiessuggested specific residues that could account for the differencesin substrate specificity. A major substrate for P450IA1, 3-methyl-cholanthrene,was fitted into the proposed active site and this planar aromaticmolecule could be accommodated into the available cavity. Residuesthat are likely to interact with the haem were identified. Thesequence similarity between 59 eukaryotic enzymes was representedas a dendrogram that in general clustered according to genefamily. Until a crystallographic structure is available, thismodel-building study identifies potential residues in cytochromeP450s important in the function of these enzymes and these residuesare candidates for site-directed mutagenesis.     

DEPENDENCE OF PREDICTION MODEL OF FORMING LIMIT STRAINS ON FORMING METHOD AND MECHANICAL PROPERTIES OF SHEET METALS

ＤＥＰＥＮＤＥＮＣＥＯＦＰＲＥＤＩＣＴＩＯＮＭＯＤＥＬＯＦＦＯＲＭＩＮＧＬＩＭＩＴＳＴＲＡＩＮＳＯＮＦＯＲＭＩＮＧＭＥＴＨＯＤＡＮＤＭＥＣＨＡＮＩＣＡＬＰＲＯＰＥＲＴＩＥＳＯＦＳＨＥＥＴＭＥＴＡＬＳ①ＺｈｏｕＷｅｉｘｉａｎＤｅｐａｒｔｍｅｎｔｏｆＡｅ...     

外缘内曲翻边毛坯尺寸的计算

通过对外缘内曲翻边应力应变状态的分析,导出了预测变形区的变形和对毛坯尺寸进行修正的解析式,经与有限元数值模拟和实验结果对比,证实该公式有较高的精度,可以用于确定毛坯尺寸。     

基于PSO-GRNN方法的城市用水量短期预测

鉴于城市用水量短期预测中传统的神经网络训练易陷入局部极小点、收敛速度较慢等问题,采用具有全局随机优化思想的PSO算法对GRNN神经网络径向基函数的扩展速度进行优化,提出了城市用水量的PSO-GRNN神经网络预测方法。根据某市日用水量的实测数据进行建模和预测,通过与最小二乘模型、核估计模型、局部线性估计模型的模拟效果进行对比表明：PSO-GRNN网络具有较强的自适应能力和泛化能力,能够有效地提高用水量的预测精度。     

AVS-M帧间预测模式快速选择算法的研究

AVS-M是我国拥有自主知识产权的数字音视频编码系列标准的移动视频标准.AVS-M采用率失真优化(RDO)技术进行帧间模式的选择,增加编码过程中宏块进行模式选择的计算复杂度.本文提出一种快速的帧间模式选择算法.该算法首先对SKIP模式提前判决,再采用二分搜索法对帧间模式的选择,对于宏块层的模式划分采用MAD(平均绝对差...     

基于SVM和Kalman预测的非线性系统故障预报

针对Kalman预测在非线性系统故障预报中预测误差较大的问题.提出一种基于支持向量机预测新息的Kalman预测方法.根据未知非线性系统的典型变量分析子空间模型进行Kalman预测.采用支持向量机时间序列预测算法预测未来时刻的新息,利用新息进行Kalman单步和多步预报.在连续搅拌反应器上的仿真研究表明:所提出方法能准确地预测较长时间段内故障过程的劣化趋势,预知可能发生的故障,使操作人员有时间采取必要措施消除故障隐患.