Improved Kernel Possibilistic Fuzzy Clustering Algorithm Based on Invasive Weed Optimization

Fuzzy c-means(FCM) clustering algorithm is sensitive to noise points and outlier data, and the possibilistic fuzzy c-means(PFCM) clustering algorithm overcomes the problem well, but PFCM clustering algorithm has some problems: it is still sensitive to initial clustering centers and the clustering results are not good when the tested datasets with noise are very unequal. An improved kernel possibilistic fuzzy c-means algorithm based on invasive weed optimization(IWO-KPFCM) is proposed in this paper. This algorithm first uses invasive weed optimization(IWO) algorithm to seek the optimal solution as the initial clustering centers, and introduces kernel method to make the input data from the sample space map into the high-dimensional feature space. Then, the sample variance is introduced in the objection function to measure the compact degree of data. Finally, the improved algorithm is used to cluster data. The simulation results of the University of California-Irvine(UCI) data sets and artificial data sets show that the proposed algorithm has stronger ability to resist noise, higher cluster accuracy and faster convergence speed than the PFCM algorithm.     

胶粉改性沥青混合料的路用性能研究

主要通过在沥青混合料拌合过程中掺入不同量的橡胶粉进行马歇尔、车辙、残留稳定度、劈裂强度等试验,确定掺入不同量的橡胶粉沥青混合料的高温稳定性、水稳定性和低温性能等路用性能的变化,试验数据表明沥青混合料的各项路用性能指标都得到明显地改善和提高。     

大水位差山区河流斜坡客运码头的梳式布置

大水位差山区河流中常规"一"字形布置的斜坡客运码头存在水域工程量较大、投资较高,对河道行洪和通航安全造成不利影响。提出一种由主斜坡道和副斜坡道组合的斜坡客运码头梳式布置,实现了大水位差山区河流中船舶的分级分段靠泊,解决了常规布置斜坡客运码头在高陡地形的狭窄河流中存在的一系列局限性问题。通过与常规斜坡客运码头进行对比分析,梳式布置对山区河流地形特征的适应性更强,能有效减小船舶靠泊作业时对水域的占用、降低施工难度、节省工程投资。     

基于优化PSO-BP算法的耦合时空特征下地铁客流预测

为提高地铁客流预测的准确性,以西安地铁1号线为例,分析了地铁客流的耦合时空特征,提取了影响地铁客流变化的5个主要因素,包括节日、非节日、时间段、站点和天气,构建了反向传播(BP)神经网络,预测了地铁客流;利用引入自适应变异与均衡惯性权重的粒子群优化(PSO)算法,优化了BP神经网络,形成了考虑复杂因素影响的地铁客流预测...