海峡西岸经济区城市化发展水平的实证研究

选择总人口、人均GDP及城镇化率等指标,运用支持向量机的方法,对海峡西岸经济区城市化发展水平进行实证研究。研究表明,海峡西岸经济区的城市化发展呈现整体不均衡格局:区域内沿海城市发展水平相对较高,但沿海的莆田市和宁德市没有充分利用其比较优势,是区域内城市化发展的凹陷城市;而区域的内陆城市尤其是江西省的城市化发展水平较低。政府应加大对凹陷城市的扶持力度,扩大优势区域的辐射面,促进海峡西岸经济区的均衡发展。     

Predicting future dynamics from short-term time series using an Anticipated Learning Machine

Predicting time series has significant practical applications over different disciplines. Here, we propose an Anticipated Learning Machine (ALM) to achieve precise future-state predictions based on short-term but high-dimensional data. From non-linear dynamical systems theory, we show that ALM can transform recent correlation/spatial information of high-dimensional variables into future dynamical/temporal information of any target variable, thereby overcoming the small-sample problem and achieving multistep-ahead predictions. Since the training samples generated from high-dimensional data also include information of the unknown future values of the target variable, it is called anticipated learning. Extensive experiments on real-world data demonstrate significantly superior performances of ALM over all of the existing 12 methods. In contrast to traditional statistics-based machine learning, ALM is based on non-linear dynamics, thus opening a new way for dynamics-based machine learning.     

浅谈数控机床的国产化

我国从1958年开始发展数控技术,到现在已经建立了一定的规模体系.到目前为止我国数控市场大多被国外数控系统占领,本文主要讨论的是国产低价位数控机床、高速高效数控机床和重型数控机床如何占领国内市场.     

基于DE-SVM的船舶航迹预测模型

为提高船舶航迹预测精度,解决准确建模难度大和神经网络易陷入局部最优的问题,考虑实时获取目标船AIS数据较少的特点,提出一种基于支持向量机(support vector machine,SVM)的航迹预测模型。选择AIS数据中的航速、航向和船舶经纬度作为样本特征变量;采用小波阈值去噪的方法处理训练数据;采用差分进化(differential evolution,DE)算法对模型内部参数寻优以提高模型收敛速度和预测精度。选取天津港实船某段航迹的AIS数据,比较基于DE-SVM与基于BP神经网络的航迹预测模型的仿真结果。结果表明,基于DE-SVM的航迹预测模型具有更高的预测精度,简单、可行、高效,且耗时少。     

基于贝叶斯网络的验证激励向量生成研究

为了解决传统数字芯片验证环节中基于仿真的验证（或动态验证）功能覆盖率收敛速度慢的缺点,提出一种新的以功能覆盖为导向的测试用例生成方法,该方法基于贝叶斯网络和机器学习技术,可实现从覆盖模型到测试用例生成器反馈回路的自动关闭,在 DUT 的验证过程中,使用该方法为所测试的设计生成新的激励。实验结果表明,基于贝叶斯网络的 CDG 技术测试用例使用较少,覆盖率收敛更快,与传统基于仿真的验证技术相比,测试用例数量减少了 43%。基于贝叶斯网络的 比于传统动态验证技术而言其芯片功能验证更完善。     

夏蜡梅光合午休原因初探

夏蜡梅光合作用日进程研究结果表明,夏蜡梅净光合速率日变化为“双峰型”,有明显的光合午休现象。光响应及CO2响应测试进一步证明,强光下光抑制的发生是引起夏蜡梅光合午休的重要原因。     

数控机床人性化设计的研究

数控机床的人性化设计就是在人机工程的原则指导下,探讨和应用人的行为、能力、本能极限和其他的特性来对数控机床进行设计,创造一种良好的人机互动关系,体现数控机床对人性需求的关注。文章从人机工程的角度对数控机床人性化设计的内涵进行相应的分析,得到数控机床人性化设计的研究思路。     

多功能电子防丢器的设计与实现

随着现代生活节奏的加快,人们遗失东西的现象经常发生,防遗失产品也就应运而生．文中设计并实现了一款多功能电子防丢器,它由母机和子机两部分组成,子机置于防丢物品上,母机由主人随身携带,具有防丢和寻找功能．子机留有的外接插孔可与其他传感器设备相连,构成相应的防盗报警系统．电路主要采用集成芯片制作,所以具有电路简单,工作性能稳定,功耗及成本低等优点．     

基于纠缠相干性的量子投票方案

提出了一个基于3粒子态纠缠相干性的量子投票方案,利用量子力学的物理特性来实现投票、计票和即时监督.此外,方案还采用了量子密钥分配和一次一密算法,克服了传统电子投票协议中普遍存在的计算安全性的局限,具有无条件安全性.     

Fault diagnosis model based on fuzzy support vector machine combined with weighted fuzzy clustering

A fault diagnosis model is proposed based on fuzzy support vector machine (FSVM) combined with fuzzy clustering (FC).Considering the relationship between the sample point and non-self class,FC algorithm is applied to generate fuzzy memberships.In the algorithm,sample weights based on a distribution density function of data point and genetic algorithm (GA) are introduced to enhance the performance of FC.Then a multi-class FSVM with radial basis function kernel is established according to directed acyclic graph algorithm,the penalty factor and kernel parameter of which are optimized by GA.Finally,the model is executed for multi-class fault diagnosis of rolling element bearings.The results show that the presented model achieves high performances both in identifying fault types and fault degrees.The performance comparisons of the presented model with SVM and distance-based FSVM for noisy case demonstrate the capacity of dealing with noise and generalization.