一种基于进化学习的中药定量组效关系建模方法

针对中药的组分配伍优化设计，提出一类中药药效智能预测及定量组效关系（QCAR）建模方法.采用全新设计的自适应浮点编码遗传算法，并与反向传播（BP）算法集成用于神经网络学习训练，既改善了神经元网络获得全局最优解的能力，又消除了经典遗传算法（GA）在编码与解码时产生的截断误差，从而提高了QCAR模型的训练与预报精度.以中药当归为实例对该方法进行应用研究.结果表明，无论是交叉验证还是独立检验均取得较好效果，明显优于常规建模方法，可用于对中药药效进行智能预测     

煤岩及泥炭成熟度热模拟研究--镜质组反射率演化特征及其地质意义

通过高温高压模拟实验，在20℃／h和2℃／h两种升温速率条件下，对沁水盆地山西组和太原组煤岩以及现代泥炭模拟固体产物镜质组反射率Ro演化特征进行了分析和研究．结果表明：1)在336．8～600℃的模拟温度区间，2℃／h和20℃／h两种升温速率条件下，模拟固体产物Ro值太原组煤岩分别为1．07％～4．50％和0．83％～3．97％，山西组煤岩分别为0．98％～4．51％和0．80％～4．05％，泥炭分别为0．96％～4．19％和0．72％～3．72％．2)随着实验温度的增高，煤岩以及泥炭的热模拟固体产物累积Ro值都呈直线增加，并且在实验温度区间范围内，2C／h升温速率条件下的Ro值增长值都要高于20℃／h升温速率条件下的Ro值增长值，说明升温速率是影响有机质热成熟演化过程的重要因素．3)在2种升温速率条件下，煤岩以及泥炭固体产物的Ro值随温度的相对波动较为明显，这主要反映了Ro值热演化的阶段性特征，总体来说，煤岩与泥炭的固体产物镜质组反射率在演化阶段上具有较多的相似性．但是太原组煤岩固体产物的Ro值变化相对幅度较大，而山西组煤岩和泥炭则较小．4)在相同的升温速率条件下，同一温度不同样品之间模拟固体产物的累积Ro值不同，大部分温度点处太原组煤岩Ro值最高，山西组煤岩次之，泥炭最低，并且各个样品之间Ro值的相对变化显，反映了样品性质对模拟固体产物Ro值演化的影响．结合实验所获得的结果和认识，对其地质意义进行了探讨．     

一个描述机器人团队形成的动态演化模型

目前在多机器人领域，对组织、团队和群体概念比较混乱，团队形成的研究大都停留在定性分析阶段。借鉴Markov过程和进化计算，从协作主体层和能力层研究了机器人团队和组织的区别及团队的形成机制。提出并全面描述了一个机器人团队形成的动态演化模型，目前国内外尚无类似模型。该模型不仅能对机器人团队有一个整体描述，而且能定量描述团队形成时的动态演化过程。     

论周作人对日立场的演变

通过对周作人二三十年代的日本批评的变化,分析其中所包含的由于中日时局变化和他自身思想的变化对他日本批评的表现形式和态度的影响,并使其日本批评的立场由鲜明而转为暧昧,由民族主义渐变为亲日主义,在处理中日关系时不自觉地滑入了悲剧的轨道。     

Thermal Instability and Microstructure of Strontium M-type Hexaferrite Nanoparticles Synthesized by Citrate Approach

The dried gel of SrFe12O19, prepared by citrate approach, was investigated by means of infrared spectroscopy （ IR ）, thermogravimetric analysis （ TG ）, differential scanning calorimetry （ DSC ）, X- ray diffraction（ XRD ） techniques, energy dispersive spectroscopy（ EDS ）, and transmission electron microscopy（ TEM ）. The thermal instability and the thermal decomposition of low-temperature strontium M-type hexaferrite crystallized at about 600℃ were confirmed for the first time by XRD method. The decomposition of the low-temperature strontium M-type hexaferrite took place at about 688.6℃ determined by DSC investigation. The low-temperature strontium M-type hexaferrite nanopartieles were decomposed into SrFeO2.5 with an orthorthombic cell and Fe2O3 with a tetragonal cell as well as possibl α-Fe2O3 . The agglomerated particles with sizes less than 200 nm obtained at 800℃ were plesiomorphous to strontium M-type hexaferrite. The thermally stable strontium M-type hexaferrite nanopartieles with sizes less than 100um cotdd take place at 900 ℃ . Up to 1000 ℃ , the phose transformotion to form strontium M-type hexaferrite was ended, the calcinations with the sizes more than 1μm were composed of α-Fe2O3 and strontium M-type hexaferrite. The method of distinguishing γ-Fe2O3 with a spinel structure from Fe2O3 with tetragonal cells by using powder XRD method was proposed. Fe2O3 with tetragonal cells to be crystallized before the crystallization of thermally stable strontium M-type hexaferrite was confirmed for the first time. The reason why α- Fe2O3 as an additional phase appears in the calcinations is the cationic vacancy of stroutium M-type hexaferrite , SrFe12-x□O19 （0≤x ≤0.5）.     

中厚板生产过程中组织性能的预报

本文建立了C-Mn钢在控制轧制和控制冷却生产中微观组织演变和力学性能预测的物理冶金模型。模型包括加热、再结晶、相变和力学性能四部分，分别描述了中厚板热轧度冷却过程中的物理冶金现象。根据现场数据，计算了轧制过程奥氏体晶粒尺寸和再结晶分数的演变，预测了在不同工艺条件下连续冷却转变各相的体积分数和铁素体的晶粒尺寸等显微组织参数和相关的力学性能，预测结果和实测值吻合较好。     

Exploring dynamic self-adaptive populations in differential evolution

Although the Differential Evolution (DE) algorithm has been shown to be a simple yet powerful evolutionary algorithm for optimizing continuous functions, users are still faced with the problem of preliminary testing and hand-tuning of the evolutionary parameters prior to commencing the actual optimization process. As a solution, self-adaptation has been found to be highly beneficial in automatically and dynamically adjusting evolutionary parameters such as crossover rates and mutation rates. In this paper, we present a first attempt at self-adapting the population size parameter in addition to self-adapting crossover and mutation rates. Firstly, our main objective is to demonstrate the feasibility of self-adapting the population size parameter in DE. Using De Jong's F1–F5 benchmark test problems, we showed that DE with self-adaptive populations produced highly competitive results compared to a conventional DE algorithm with static populations. In addition to reducing the number of parameters used in DE, the proposed algorithm actually outperformed the conventional DE algorithm for one of the test problems. It was also found that that an absolute encoding methodology for self-adapting population size in DE produced results with greater optimization reliability compared to a relative encoding methodology.     

遗传规划中的基因内区研究

利用试验证实遗传规划的个体中存在基因内区、它们是冗余的表达式，附加在算法树上，使个体变得臃肿，但对实际输出结果没影响，它对进化的收敛既有积极作用，也有消极作用，通过对遗传操作方法和参数的研究，揭示也基因内区发生的规律，并提出扬长避短的途径。     

Schema Evolution in Data Warehouses

In this paper, we address the issues related to the evolution and maintenance of data warehousing systems, when underlying data sources change their schema capabilities. These changes can invalidate views at the data warehousing system. We present an approach for dynamically adapting views according to schema changes arising on source relations. This type of maintenance concerns both the schema and the data of the data warehouse. The main issue is to avoid the view recomputation from scratch especially when views are defined from multiple sources. The data of the data warehouse is used primarily in organizational decision-making and may be strategic. Therefore, the schema of the data warehouse can evolve for modeling new requirements resulting from analysis or data-mining processing. Our approach provides means to support schema evolution of the data warehouse independently of the data sources. Received 20 March 2000 / Revised 5 January 2001 / Accepted in revised form 20 April 2001