智能建筑工程建设有关问题的探讨

在分析智能建筑工程建设项目现状的基础上,对智能建筑项目建设中存在的主要问题作了深入分析,提出了加强政府管理、成立行业协会和扶持专业咨询公司等管理措施,为智能建筑工程建设的管理提供了新的方法.     

日本天基情报侦察系统发展分析

本文就日本利用本国多用途民用遥感卫星和借助别国力量获取卫星图像信息为其军事服务，直至建立日本独立的军事侦察卫星系统这一发展天基情报侦察系统的策略进行了评述。同时，对日本天基情报侦察系统装备情况及其可能达到的水平也作了简略的阐述。     

论公益性和商业性地质勘查活动的划分以及运行规则

公益性工作包括基础性工作和专题性工作两部分."公益性活动和商业性活动分体运行"的提法行不通,只应是"分制运行".借鉴土木建筑行业经验,建立业主、设计、施工、监理"四分天下"的运行机制.政府行业主管部门和政府业主的分工体现了"政资分离".     

中国林蛙人工养殖现状及发展对策

介绍了中国林蛙的分布、资源现状和养殖现状：分析了目前的各种养殖模式的优缺点、妨碍林蛙养殖业发展的若干问题以及应采取的对策。     

智慧金融——Work Smarter

围绕金融业和信息产业的发展阶段的论述,通过银行业和信息系统最佳实践的角度,探索利用新思维和新技术构建＂智慧金融＂体系的最基本要素。以SEB银行为便,解析商业银行利用新技术和商业智能功能获取更多信息和洞察力,帮助客户利用最新电子交易渠道和电子服务产品。金融智能化必将是现代金融学理论、金融业界经验、科技发展与运用、社会进步与生活智能化的集大成者。     

Advances in forecasting with neural networks? Empirical evidence from the NN3 competition on time series prediction

This paper reports the results of the NN3 competition, which is a replication of the M3 competition with an extension of the competition towards neural network (NN) and computational intelligence (CI) methods, in order to assess what progress has been made in the 10 years since the M3 competition. Two masked subsets of the M3 monthly industry data, containing 111 and 11 empirical time series respectively, were chosen, controlling for multiple data conditions of time series length (short/long), data patterns (seasonal/non-seasonal) and forecasting horizons (short/medium/long). The relative forecasting accuracy was assessed using the metrics from the M3, together with later extensions of scaled measures, and non-parametric statistical tests. The NN3 competition attracted 59 submissions from NN, CI and statistics, making it the largest CI competition on time series data. Its main findings include: (a) only one NN outperformed the damped trend using the sMAPE, but more contenders outperformed the AutomatANN of the M3; (b) ensembles of CI approaches performed very well, better than combinations of statistical methods; (c) a novel, complex statistical method outperformed all statistical and CI benchmarks; and (d) for the most difficult subset of short and seasonal series, a methodology employing echo state neural networks outperformed all others. The NN3 results highlight the ability of NN to handle complex data, including short and seasonal time series, beyond prior expectations, and thus identify multiple avenues for future research.     

Forecast combinations of computational intelligence and linear models for the NN5 time series forecasting competition

In this work we introduce the forecasting model with which we participated in the NN5 forecasting competition (the forecasting of 111 time series representing daily cash withdrawal amounts at ATM machines). The main idea of this model is to utilize the concept of forecast combination, which has proven to be an effective methodology in the forecasting literature. In the proposed system we attempted to follow a principled approach, and make use of some of the guidelines and concepts that are known in the forecasting literature to lead to superior performance. For example, we considered various previous comparison studies and time series competitions as guidance in determining which individual forecasting models to test (for possible inclusion in the forecast combination system). The final model ended up consisting of neural networks, Gaussian process regression, and linear models, combined by simple average. We also paid extra attention to the seasonality aspect, decomposing the seasonality into weekly (which is the strongest one), day of the month, and month of the year seasonality.     

竞争情报与企业的蓬勃发展

在信息高度发达的时代,企业的的发展不仅是经济实力的发展,更重要的是情报的竞争,建立企业情报竞争系统,成立竞争情报服务中心,对提高企业发展,有着至关重要的作用。     

基于“会诊式”推理控制策略的智能型搜索引擎的研究

随着Internet和网络技术的发展,搜索引擎给人们带来的很大便利。本文分析了传统搜索引擎的缺点,探讨了"会诊式"推理控制策略的结构和特点,研究了基于"会诊式"推理控制策略的智能型搜索引擎的特征,并给出其实现技术。     

一种基于Levy-人工蜂群的三维Otsu阈值分割算法

针对图像分割过程中三维Otsu算法运算时间长、计算量大的问题,提出了一种基于Levy-人工蜂群算法的三维Otsu阈值分割算法。首先,以像素灰度值-邻域均值-邻域中值的三维类间方差作为人工蜂群算法的适应度函数;其次,采用Levy飞行模式评价像素的适应度,对其种群更新及邻域搜索过程进行优化,以增强其全局搜索能力;最后,利用改进后的算法得到的分割阈值对图像进行分割。仿真实验结果表明,与传统三维Otsu阈值分割算法相比,所提算法能够有效降低图像存储空间,处理时间降低了30.8%,具备更好的抗噪性能,分割效果也更为理想。