混合核函数对支持向量机分类性能的改进

通过对核矩阵的计算和研究,从理论上对常用的核函数进行了评估.在此基础上,通过实验仿真证实了通过优选后的核函数所组成的混合核函数对支持向量机分类性能的改善,为核函数的选择提供了参考.     

冷再生泡沫沥青混合料水稳定性研究分析

通过控制新集料掺加比例、泡沫沥青用量、水泥剂量、集料温度和抗剥落剂等,研究各因素对冷再生泡沫沥青混合料的路用性能和水稳定的影响,并揭示其微观机理.结果表明,旧料利用率、泡沫沥青用量、水泥剂量和抗剥落剂宜分别控制在50%～75%、 2.5%～3.0%、 1.0%～1.5%和0.5%左右.此外,适当提高集料温度,有助于提高泡沫沥青分散均匀性,从而提升冷再生泡沫沥青混合料的水稳定性.泡沫沥青用量和水泥剂量是冷再生泡沫沥青混合料水稳定的关键因素.尽量使泡沫沥青分散均匀,避免产生结团现象,是保证冷再生泡沫沥青混合料水稳定性的基础,进一步通过水泥补强作用,可获得良好的水稳定性.     

超大粒径沥青混合料的成型方法

针对超大粒径沥青混合料（SLSM）的特征,利用旋转压实（SGC）法、大马歇尔击实法和振动击实法3种不同的成型方法制备试件并计算相关参数。研究结果表明：3种成型方法中,旋转压实法成型试件时所需的油石比最小;成型时间形成的空隙率特征为,振动击实法的空隙率大于大马歇尔击实法的空隙率和旋转压实法的空隙率;对于超大粒径沥青混合料,振动成型法容易造成集料离析、空隙率偏大,不能形成骨架密实结构。3种不同的成型方法击实功的对比分析表明：在控制相同空隙率的条件下,选择旋转压实法进行超大粒径沥青混合料的成型,可以减少击实次数,降低能耗。     

有机硅膜对醇—水混合物的渗透汽化分离

在硅橡胶中加入交联剂，制备成有机硅膜．该膜对醇－水混合物具有良好的分离性能，实验表明：交联剂的用量，交联方式均对膜性能有很大的影响，膜内支撑材料和料液浓度对膜的渗透性能也有影响，ＨＶ法和ＲＴＶ法制得的透醇膜对酒精的选择因子分别约为７和５，其通量分别约为１５×１０－３ｋｇ／（ｍ２·ｈ）和４０×１０－３ｋｇ／（ｍ２·ｈ）．     

烃类混合物及油气藏流体的粘度计算模型

根据ｖａｎｄｅｒＷａａｌｓ单流体混合规则,将基于两参数ＰｅｎｇＲｏｂｉｎｓｏｎ状态方程的流体粘度计算模型应用于烃类混合物及油气藏流体粘度的计算。对３种二元烃类混合物（甲烷丙烷、甲烷正丁烷和甲烷正癸烷）的粘度进行了计算,２４３９个数据点的平均相对误差为１６．７２％．计算了９种天然气及１７种油藏原油的粘度,其平均相对误差分别为９．８０％和１７．２９％．这种模型优于现有的油气藏流体粘度模型。     

Blind separation of sources in nonlinear convolved mixture based on a novel network

Blind separation of independent sources from their nonlinear convoluted mixtures is a more realistic problem than from linear ones. A solution to this problem based on the Entropy Maximization principle is presented. First we propose a novel two-layer network as the de-mixing system to separate sources in nonlinear convolved mixture. In output layer of our network we use feedback network architecture to cope with convoluted mixtures. Then we derive learning algorithms for the two-layer network by maximizing the information entropy. Based on the comparison of the computer simulation results, it can be concluded that the proposed algorithm has a better nonlinear convolved blind signal separation effect than the H.H. Y' s algorithm.     

Novel blind source separation algorithm using Gaussian mixture density function

The blind source separation (BSS) is an important task for numerous applications in signal processing, communications and array processing. But for many complex sources blind separation algorithms are not efficient because the probability distribution of the sources cannot be estimated accurately. So in this paper, to justify the ME(maximum enteropy) approach, the relation between the ME and the MMI(minimum mutual information) is elucidated first. Then a novel algorithm that uses Gaussian mixture density to approximate the probability distribution of the sources is presented based on the ME approach. The experiment of the BSS of ship-radiated noise demonstrates that the proposed algorithm is valid and efficient.     

Probability distributions,trading strategies and leverage: an application of Gaussian mixture models

The purpose of this paper is twofold. Firstly, to assess the merit of estimating probability density functions rather than level or classification estimations on a one‐day‐ahead forecasting task of the EUR/USD time series. This is implemented using a Gaussian mixture model neural network, benchmarking the results against standard forecasting models, namely a naïve model, a moving average convergence divergence technical model (MACD), an autoregressive moving average model (ARMA), a logistic regression model (LOGIT) and a multi‐layer perceptron network (MLP). Secondly, to examine the possibilities of improving the trading performance of those models with confirmation filters and leverage. While the benchmark models perform best without confirmation filters and leverage, the Gaussian mixture model outperforms all of the benchmarks when taking advantage of the possibilities offered by a combination of more sophisticated trading strategies and leverage. This might be due to the ability of the Gaussian mixture model to identify successfully trades with a high Sharpe ratio. Copyright © 2004 John Wiley & Sons, Ltd.     

微机选择色谱分析最佳操作条件——混合酯类的分离

本文按正交试验法合理地设计了9次条件实验,测量同一样品在各实验中的保留时间(t_R)和半峰宽(W_(1/2)),再将所测得的保留时间和半峰宽依次输入计算机得出相应实验条件下的分离度(R)和理论塔板数(N),并根据这两个不同指标的值分别进行计算,得出各因素的极差值,绘制指标与因素水平的关系图.从极差的大小可知各因素的显著性,根据关系图可选出最佳分析条件。     

双组分单分子膜行为特征的研究

以DPPC／DPPG、DPPC／DOPG、DPPC／DMPA三组二元混合物为对象,制备了相应的单分子膜;并测定其表面压-分子平均面积(π—A)曲线,运用表面热力学原理对其进行分析,建立了过量自由能与表面压、组成等参数之间的函数关系式。实验数据及计算结果表明,该关系式能定量描述双组分单分子膜在舒张-压缩循环过程中的“挤出”现象。