模糊评判在住宅价格评估中的应用

模糊特征在住宅价格评估中占有重要地位,在科学定义若干基本概念的基础上,提出了运用模糊综合评判进行住宅价格评估的方法,该方法把模糊评判和享乐价格方法相结合,解决了住宅价格评估中模糊特征的合理量化问题,具有科学、合理、易于操作等特点。     

具有交货期窗口满意数最大的排序问题算法复杂性

讨论这样一类单机排序问题:每个工件联系一个交货期窗口;如果工件的完工时间落在该工件的交货期窗口内,则称该工件的完工是满意的;排序的优化准则是完工为满意的工件个数最大.本文证明了上述排序模型是强NP困难的.     

基于手势的人机交互的研究

人机交互的本质是人的多维信息认知空间和计算机的信息表示空间之间的相互映射 。传统的用户界面范型遵循着一种基于命令的交互,交互的输入,输出是离散的事件流,交互中人的意图能自然、高效地表达,需要交互者较多的认知努力。基于手势的人机交互以手势表达交互意图,手势中含有大量的交互信息,同时又符合的人认知习惯。基于手势的交互具有非精确、多通道、连续等特点,能够实现人的认知空间和计算空间对间的平滑过渡,从而有效     

噪声中目标距离剖面像识别的修正特征子空间法

以噪声背景下高分辨雷达目标的距离剖面像为测量矢量 ,提出了基于修正特征子空间而进行特征抽取的目标识别方法。对每类目标 ,由训练样本矩阵经奇异值分解 (SVD) ,建立各自的特征子空间 ,并提取相应的降噪算子。对未知目标 ,其距离剖面像在各特征子空间中的投影 ,经相应降噪算子作用后 ,以能量最大为准则进行识别。模拟实验结果表明了所提方法的有效性     

智能寻优模糊控制研究

根据被调量的偏差和偏差变化率的模糊预测 ,应用单纯法优化搜索技术 ,寻优调整因子 ,在线刷新模糊控制规则 ,实现对具有多扰动、非线性、大滞后等特性的系统的控制。计算机仿真获得较好效果。     

用遗传算法求解最优同时镇定控制器

研究了用改进的遗传算法求解同时镇定一族线性定常系统的最优状态 /输出反馈控制律问题。引入了通常的二次型指标作为每一个系统的性能指标。在满足稳定性的条件下 ,通过最小化每个系统性能指标的加权函数值来求得最优同时镇定律。提出了一种求解该优化问题的改进遗传算法。计算结果说明了该方法的有效性。     

Loss of ACTN3 gene function alters mouse muscle metabolism and shows evidence of positive selection in humans

More than a billion humans worldwide are predicted to be completely deficient in the fast skeletal muscle fiber protein alpha-actinin-3 owing to homozygosity for a premature stop codon polymorphism, R577X, in the ACTN3 gene. The R577X polymorphism is associated with elite athlete status and human muscle performance, suggesting that alpha-actinin-3 deficiency influences the function of fast muscle fibers. Here we show that loss of alpha-actinin-3 expression in a knockout mouse model results in a shift in muscle metabolism toward the more efficient aerobic pathway and an increase in intrinsic endurance performance. In addition, we demonstrate that the genomic region surrounding the 577X null allele shows low levels of genetic variation and recombination in individuals of European and East Asian descent, consistent with strong, recent positive selection. We propose that the 577X allele has been positively selected in some human populations owing to its effect on skeletal muscle metabolism.     

Wnt-beta-catenin signaling initiates taste papilla development

Fungiform taste papillae form a regular array on the dorsal tongue. Taste buds arise from papilla epithelium and, unusually for epithelial derivatives, synapse with neurons, release neurotransmitters and generate receptor and action potentials. Despite the importance of taste as one of our five senses, genetic analyses of taste papilla and bud development are lacking. We demonstrate that Wnt-beta-catenin signaling is activated in developing fungiform placodes and taste bud cells. A dominant stabilizing mutation of epithelial beta-catenin causes massive overproduction of enlarged fungiform papillae and taste buds. Likewise, genetic deletion of epithelial beta-catenin or inhibition of Wnt-beta-catenin signaling by ectopic dickkopf1 (Dkk1) blocks initiation of fungiform papilla morphogenesis. Ectopic papillae are innervated in the stabilizing beta-catenin mutant, whereas ectopic Dkk1 causes absence of lingual epithelial innervation. Thus, Wnt-beta-catenin signaling is critical for fungiform papilla and taste bud development. Altered regulation of this pathway may underlie evolutionary changes in taste papilla patterning.     

Telomeres and meiosis in health and disease

Beyond their role in replication and chromosome end capping, telomeres are also thought to function in meiotic chromosome pairing, meiotic and mitotic chromosome segregation as well as in nuclear organization. Observations in both somatic and meiotic cells suggest that the positioning of telomeres within the nucleus is highly specific and believed to be dependent mainly on telomere interactions with the nuclear envelope either directly or through chromatin interacting proteins. Although little is known about the mechanism of telomere clustering, some studies show that it is an active process. Recent data have suggested a regulatory role for telomere chromatin structure in telomere movement. This review will summarize recent studies on telomere interactions with the nuclear matrix, telomere chromatin structure and factors that modify telomere chromatin structure as related to regulation of telomere movement.     

Dynamic Latent Class Model Averaging for Online Prediction

We consider the problem of online prediction when it is uncertain what the best prediction model to use is. We develop a method called dynamic latent class model averaging, which combines a state‐space model for the parameters of each of the candidate models of the system with a Markov chain model for the best model. We propose a polychotomous regression model for the transition weights to assume that the probability of a change in time depends on the past through the values of the most recent time periods and spatial correlation among the regions. The evolution of the parameters in each submodel is defined by exponential forgetting. This structure allows the ‘correct’ model to vary over both time and regions. In contrast to existing methods, the proposed model naturally incorporates clustering and prediction analysis in a single unified framework. We develop an efficient Gibbs algorithm for computation, and we demonstrate the value of our framework on simulated experiments and on a real‐world problem: forecasting IBM's corporate revenue. Copyright © 2014 John Wiley & Sons, Ltd.