Development of a recurrent Sigma-Pi neural network rainfall forecasting system in Hong Kong

At the moment, weather forecasting is still an art — the experience and intuition of forecasters play a significant role in determining the quality of forecasting. This paper describes the development of a new approach to rainfall forecasting using neural networks. It deals with the extraction of information from radar images and an evaluation of past rain gauge records to provide shortterm rainfall forecasting. All of the meteorological data were provided by the Royal Observatory of Hong Kong (ROHK). Preprocessing procedures were essential for this neural network rainfall forecasting. The forecast of the rainfall was performed every half an hour so that a storm warning signal can be delivered to the public in advance. The network architecture is based on a recurrent Sigma-Pi network. The results are very promising, and this neural-based rainfall forecasting system is capable of providing a rain storm warning signal to the Hong Kong public one hour ahead.     

珠钢不锈钢冶炼技术探讨

本文阐述了不锈钢冶炼的关键技术，为生产准备提供帮助。     

基于神经网络的降雨径流预报

本文将人工神经网络应用于二滩水电站以上支流鱼河的降雨径流预报，通过建模、计算、比较和分析可知，其非线性映射能力、自学习能力和灵活性，均能较好地反映降雨径流之间的非线性的、复杂的转换关系，结合流域水文特性并合理处理建模数据，值得进一步深入研究。     

Advancing controlled release packaging through smart blending

Researchers from Rutgers University and Clemson University have collaborated to develop a concept of using smart blending to generate functional packaging films for the controlled release of active compounds such as antimicrobials, antioxidants and flavour compounds to extend the shelf‐life of food. In this paper, literature results are reviewed to justify the significance of controlled release packaging (CRP) and the research gaps for further development are identified. A major research gap is the lack of packaging materials that can provide the release of active compounds at rates suitable for a wide range of food packaging applications. Smart blending is a promising technology for bridging this research gap. To fully realize the potentials of smart blending, a systematic approach for developing CRP using smart blending is also presented. Copyright © 2005 John Wiley & Sons, Ltd.     

新疆重质混合原油研制高等级道路沥青

对利用新疆重质混合原油生产的减压渣油作为基质沥青制备高等级道路沥青进行了研究。考察了低硫石蜡基原油（A）和含硫环烷-中间基原油（B）的掺炼比对基质沥青四组分组成的影响，减压渣油软化点与基质沥青四组分组成的关系，以及添加剂对改进沥青性质的作用。由此得出原油（B）的合适掺炼量，减压渣油软化点的控制范围和优化的生产工艺条件，调合出了符合GB／T18150—2000和JTGF40—2004要求的高等级道路沥青。     

煤岩配煤在湘钢焦化厂的应用

论述了湘钢目前利用煤岩学数据指标判定进厂煤质情况,指导煤场分堆,优化配煤结构.同时在保证焦炭质量稳定的前提下,配入少量低灰的气煤,有效地提高了焦炭质量.     

汽油辛烷值智能调合系统

采取一种能够在线学习、不断提高、建立一系列模型的策略，提出了一种具有学习功能的汽油辛烷值智能调合系统。该系统可以根据成品汽油辛烷值指标、生产成本和市场价格等因素提供一个较好的油品调合调度方案。实际应用结果表明，利用参数学习的方法计算调合汽油辛烷值是可行的。     

全球气候变暖对水资源的影响

全球气候变暖加剧了干旱、洪涝、台风等自然灾害的发生，是目前各国政府和社会公众普遍关注的热点问题。根据有关资料对气候变暖研究进展情况作相关介绍，可供参考。     

多掺炼新疆渣油的催化裂化工业生产技术

兰州石化公司以加工新疆原油为主，重油收率高，平均在37％左右，所生产的重油主要靠催化裂化装置来加工，多余部分以低附加值重油出厂。随着涩宁兰天然气工程的逐渐建成，低附加值重油出厂将受到严重威胁，因此，催化裂化装置加工重油显得尤为重要。兰州石化公司炼油厂1.2Mt/a重催装置通过采用先进技术进行改造，使重油掺炼比由41.52%提高到52.20%，提高了10.68个百分点，年多加工重油14.95万t，产品收率达到79.20%以上，能够灵活调节产品结构，创造了良好的经济效益。     

车用乙醇汽油调合及储运问题的探讨

简要介绍了车用乙醇汽油的组成、性质 ,阐述了车用乙醇汽油调合及储运设施的工艺设计思想 ,以及车用乙醇汽油储运设施设计中应注意的问题。