使用遗传算法的迷宫学习

本文试用遗传计算及决策制定方法来实现机器人有认识迷宫意向的能力，这里“意向”是指遵循对迷宫特有的路径规则所出的决定，令机器人在两个相对的迷宫中行走学习，一个迷宫路径是基于同样的意向，另一个则基于不同的意向，研究结果确认了已达成的意向学习。     

大规模数据库中的知识获取

一、前言数据是知识的潭泉,拥有大量的数据与拥有许多有用的知识完全是两回事.为了有效地利用大量的公共数据,必须更好地理解这些数据,并从其中快速、准确地发现知识.这里所说的知识是指大量数据中存在的规律性(r egularity)或不同属性值之间所存在的[I F THEN〕规则.将所获取的知识附加于仅由事实数据(fact data)构成的传统数据库上,既可强化数据库的查询能力,又可给数据库提供推理能力,     

低轨小型卫星的发展和应用

本文介绍低轨小卫星的发展和应用前景。低轨小卫星,体积和重量小,轨道低,功能单一,智能化,制造和发射都很容易,投资费用低,受到用户的普遍欢迎,有广阔的发展和应用前景。 小卫星在近几年发展迅速,应用广泛,已经受到世界各国的重视。在许多方面,已经应用小卫星和计划中应用小卫星的例子很多,本文只作简要介绍,目的在于引起人们的重视,发展我国的小卫星事业。     

Design and Implementation of a Flexible Manufacturing Control System Using Neural Network

Design and implementation of a sequential controller based on the concept of artificial neural networks for a flexible manufacturing system are presented. The recurrent neural network (RNN) type is used for such a purpose. Contrary to the programmable controller, an RNN-based sequential controller is based on a definite mathematical model rather than depending on experience and trial and error techniques. The proposed controller is also more flexible because it is not limited by the restrictions of the finite state automata theory. Adequate guidelines of how to construct an RNN-based sequential controller are presented. These guidelines are applied to different case studies. The proposed controller is tested by simulations and real-time experiments. These tests prove the successfulness of the proposed controller performances. Theoretical as well as experimental results are presented and discussed indicating that the proposed design procedure using Elman's RNN can be effective in designing a sequential controller for event-based type manufacturing systems. In addition, the simulation results assure the effectiveness of the proposed controller to outperform the effect of noisy inputs.     

换热器小浮头螺栓断裂失效分析

针对换热器小浮头螺栓发生断裂的情况进行失效分析，找出原因，提出处理措施及材质选择时应注意的问题。     

水平井岩屑录井的影响因素及对策

由于岩屑沉积床的形成、井壁坍塌和井眼不规则、岩屑多次破碎、钻时资料失真及混油钻井液污染等因素影响，水平井的岩屑比普通直井更混杂、更细碎，代表性也更差，岩屑中的油气显示真假难辨。通过加密实测迟到时间，参考钻井参数及DC指数可以对岩屑进行较准确地分层、描述，采用多次荧光滴照、四氯化碳浸泡、气测资料分析等方法，能够有效地区分真假油气显示。     

莱钢中小型连轧生产线技术装备状况及改进

介绍了莱钢引进的具有 90年代国际先进水平的中小型型钢连轧生产线的工艺、设备特点及主要技术参数 ,以及对原机械设备、电气及工艺备件的改进和新产品开发情况 ,均取得良好效果。     

N_2S_2或N_3S型配体的合成、~(99)Tc~m标记及生物分布研究

以MAG3为基本分子骨架，根据构效关系，分别引入合适的天然氨基酸，设计合成了4种N2S2或N3S型小分子多肽新配体，并通过了IR，^1H NMR,^13C NMR,MS谱学鉴定和元素分析表征。采用葡庚糖酸钙（GH）交换法对4个配体进行了^99Tc^m标记，研究了配合物在小鼠体内的生物分布特征。结果表明，^99Tc^m-MVGG肾摄取较高，滞留时间较长，血清除快，且肾与其它组织的活度比值高，具备成为肾功能显像剂的条件；^99Tc^m-MPGG肾初始摄取较高，R（肾／血）活度比值高，但肾清除较快，R（肾／肝）活度比值较低；^99Tc^m-MVTC和^99Tc^m－MPTC心肌初始摄取均较高，但在心肌和血中的清除速度较快。     

切尔诺贝利事故释放的~(131)I所致牧草、奶类的污染水平及其变化规律

本文报道了苏联切尔诺贝利核电站事故释放的~(131)I对乌鲁木齐地区牧草、奶类的污染水平及动态变化规律。经估算,~(131)I经奶类所致成人(1.2μSv)和婴儿(120μSv)甲状腺最大待积剂量当量远低于我国放射卫生防护基本标准规定的年剂量限值,因此,对居民健康不会产生影响。     

FILIP: A fuzzy intelligent information system with learning capabilities

FILIP (fuzzy intelligent learning information processing) system is designed with the goal to model human information processing. The issues addressed are uncertain knowledge representation and approximate reasoning based on fuzzy set theory, and knowledge acquisition by “being told” or by “learning from examples”. Concepts that can be “learned” by the system can be imprecise (fuzzy), or the knowledge can be incomplete. In the latter case, FILIP uses the concept of similarity to extrapolate the knowledge to cases that were not covered by examples provided by the user. Concepts are stored in the Knowledge Base and employed in intelligent query processing, based on flexible inference that supports approximate matches between the data in the database and the query.

The architecture of FILIP is discussed, the learning algorithm is described, and examples of the system's performance in the knowledge acquisition and querying modes, together with its explanatory capabilities are shown.