复射线展开法分析圆柱面对平面波散射的精度问题

讨论了用复射线展开法计算圆柱面对入射平面波散射时的计算误差特性，提出了控制其计算精度的复射线展开参数选择方法，证实了通过恰当选择展开参数可以有效地提升计算精度、实现误差控制。     

论提高罐式法海绵铁质量的途径

通过对原料的选择、热工制度的控制及操作等因素进行分析和论述，探讨了提高海绵铁质量的途径。     

防汛应用系统整合与完善的探讨

随着黄委“数字黄河”工程建设的开展以及计算机广域网络的扩大、开发技术运行方式的变化和用户的迅速增长，需要将防汛系统资源进行综合利用，满足业务生产需求。“数字黄河”工程规划完成后．我们根据规划首先选择防汛应用系统为突破口，以防汛会商综合信息支持为目标，将单个的防汛应用系统进行规范、完善，最终建成防汛信息综合平台．在平台的基础上实现现有应用系统和新开发系统的集成。     

邯矿集团内部网站的设计与开发

建立企业内部网站是现代信息化技术提高企业管理水平的有效途径.从企业的需求与目的出发,设计开发了高效、实用、庄重大方的企业网站.     

热流量计的原理

根据工业及家庭供暖的要求，设计并研制成一种新型的热流量计，它采用方便而新颖的采集信息方式，并使用CPU精确实时的进行控制和运算，保证了热流量计的精确、实时和“分户计量”。     

海洋石油平台水下夹桩器本体结构分析

水下夹桩器是一种广泛应用于海洋石油平台建设的液压夹具。水下夹桩器本体焊接在导管架上，支撑夹桩器液压缸。在水下夹桩器本体设计中，采用有限元法完成了对本体强度和刚度的结构分析；建立了有限元分析模型，用ANSYS软件进行结构分析，得到了分析结果，并将该结果与理论计算结果进行了比较，验证了有限元分析技术的有效性。设计结果满足工程要求，为改进和优化结构提供了理论依据，节省了分析计算时间。     

蒙古泰西尔坝碾压混凝土的斜层铺筑法

蒙古泰西尔水电站大坝为碾压混凝土重力坝,文中主要介绍了碾压混凝土斜层浇筑法的基本原理,施工工艺和施工中存在的问题及对策.     

A hierarchical model for structure learning based on the physiological characteristics of neurons

Almost all applications of Artificial Neural Networks (ANNs) depend mainly on their memory ability. The characteristics of typical ANN models are fixed connections, with evolved weights, globalized representations, and globalized optimizations, all based on a mathematical approach. This makes those models to be deficient in robustness, efficiency of learning, capacity, anti-jamming between training sets, and correlativity of samples, etc. In this paper, we attempt to address these problems by adopting the characteristics of biological neurons in morphology and signal processing. A hierarchical neural network was designed and realized to implement structure learning and representations based on connected structures. The basic characteristics of this model are localized and random connections, field limitations of neuron fan-in and fan-out, dynamic behavior of neurons, and samples represented through different sub-circuits of neurons specialized into different response patterns. At the end of this paper, some important aspects of error correction, capacity, learning efficiency, and soundness of structural representation are analyzed theoretically. This paper has demonstrated the feasibility and advantages of structure learning and representation. This model can serve as a fundamental element of cognitive systems such as perception and associative memory.     

浅谈火灾调查的边缘化趋势

从火灾调查实际工作状态出发,提出火灾调查存在地位边缘化的趋势,并在分析边缘化趋势原因的基础上提出了相应的对策,供火灾调查同仁探讨。