南北地震带地震活动强度变化特征及其神经网络模型

南北地震带是中国大陆的一条主要活动地震带, 20世纪以来有很多大地震集中发生在这条地震带上。为了进一步探讨南北地震带地震活动强度变化的规律并对其进行中期预测,在研究了南北地震带逐年最大地震强度演化特征及其机理的基础上,建立了南北地震带地震强度序列变化的一种模式,建模中采用了人工神经网络技术,并提出了一种简易实用的能够获得较隹预测效果的确定神经网络输入窗口大小的方法。结果表明: 南北地震带的地震活动具有强弱分期轮回的特征; 用人工神经网络建模的预测结果与实际资料的对比检验中误差较小,因而该模型可作为南北地震带地震活动强度变化的预测模型。     

中国对虾受精生物学的研究

于１９８８－１９９１年在青岛对中国对虾进行受精能力和受精生物学的研究。对虾采用加温和不加温培育，然后用人工授精法－－水域法和滴管法授精研究精卵受精能力；应用扫描和透射电以及石蜡切片技术，精卵的形态结构和受精过程的变化。结果表明，水域法授精，精子入水后３ｈ仍具有受精能力；卵子入水后１ｍｉｎ之内受精率最高只达６２．７％。而滴客法授精，受精率最高可达到９８％。平均值也在６０－８０％之间。保持在低温的亲虾     

大珠母贝人工育苗技术的研究

研究大珠母贝人工育苗若干技术,提出一些技术措施：亲贝强化培育促熟,人工诱导排放精卵,优选幼虫,投喂适口的饵料,适时倒池以及投放合适的采苗器等。结果表明,平均单产壳高2-3mm的幼苗8．1万粒／m3,最高可达9．3万粒／m3。     

Modelling of multi-bodies in close proximity under water waves—Fluid forces on floating bodies

This work presents two-dimensional numerical results of the dependence of wave forces of multiple floating bodies in close proximity on the incident wave frequency, gap width, body draft, body breadth and body number based on both viscous fluid and potential flow models. The numerical models were validated by the available experimental data of fluid oscillation in narrow gaps. Numerical investigations show that the large amplitude responses of horizontal and vertical wave forces appear around the fluid resonant frequencies. The convectional potential flow model is observed to un-physically overestimate the magnitudes of wave forces as the fluid resonance takes place. By introducing artificial damping term with appropriate damping coefficients μ∈[0.4, 0.5], the potential flow model may work as well as the viscous fluid model, which agree with the damping coefficients used in our previous work for the predication of wave height under gap resonance. In addition, the numerical results of viscous fluid model suggest that the horizontal wave force is highly dependent on the water level difference between the opposite sides of an individual body and the overall horizontal wave force on the floating system is generally smaller than the summation of wave force on each body.     

Experiments with microcomputer-based artificial intelligence environments

The U.S. Geological Survey (USGS) has been experimenting with the use of relatively inexpensive microcomputers as artificial intelligence (AI) development environments. Several AI languages are available that perform fairly well on desk-top personal computers, as are low-to-medium cost expert system packages. Although performance of these systems is respectable, their speed and capacity limitations are questionable for serious earth science applications foreseen by the USGS. The most capable artificial intelligence applications currently are concentrated on what is known as the artificial intelligence computer, and include Xerox D-series, Tektronix 4400 series, Symbolics 3600, VAX, LMI, and Texas Instruments Explorer. The artificial intelligence computer runs expert system shells and Lisp, Prolog, and Smalltalk programming languages. However, these AI environments are expensive. Recently, inexpensive 32-bit hardware has become available for the IBM/AT microcomputer. USGS has acquired and recently completed Beta-testing of the Gold Hill Systems 80386 Hummingboard, which runs Common Lisp on an IBM/AT microcomputer. Hummingboard appears to have the potential to overcome many of the speed/capacity limitations observed with AI-applications on standard personal computers. USGS is a Beta-test site for the Gold Hill Systems GoldWorks expert system. GoldWorks combines some high-end expert system shell capabilities in a medium-cost package. This shell is developed in Common Lisp, runs on the 80386 Hummingboard, and provides some expert system features formerly available only on AI-computers including frame and rule-based reasoning, on-line tutorial, multiple inheritance, and object-programming.This paper was presented at Emerging Concepts, MGUS-87 Conference, Redwood City, California, 13–15 April 1987. Use of brand names in this paper is for identification purposes only and does not constitute endorsement by the U.S. Geological Survey.     

Effects of small external forces on the planar oscillation of a cable connected satellites system

The effects of small external dissipative and disturbing forces on the non-linear planar oscillation of a cable connected satellites system in the central gravitational field of earth have been studied. Typical non-linear oscillation's phenomena arizing from the aforesaid external forces are shown to take place. The presence of these forces enables the application of asymptotic methods of the theory of non-linear oscillations due to Bogoliubov and Mitropolsky to the equation characterizing the non-linear oscillation of the system.     

智能岩石力学及其内容

本文针对岩石力学研究中目前存在的问题和信息时代的要求, 提出了21世纪的智能岩石力学的新思想和研究内容。它是综合现有各种行之有效的方法, 系统研究岩石工程问题, 提高岩石力学解决复杂问题的准确性。     

水平液固界面上瑞利波辐射的有限模型

采用有限元和人工透射边界相结合的方法在时域内计算了水平液固界面上瑞利波的辐射过程，结果与解析解相符。本文提供了无界空间中非均匀波传播的数值模拟的初步尝试。     

人工增雨效果非随机化方法检验及降水气候变化影响的分析

以灵敏度、准确度作为选择、评价试验方法的依据 ,结合自然降水的气候变化对全省常用的非随机化试验方法进行讨论。分析结果表明 ,在甘肃省开展人工增雨试验中不同试验方法对降水自然变化的反应是不一样的 ,其效果检验历史回归试验较好 ,区域对比试验次之 ,序列试验最差     

遥感图像面状目标识别的智能可视化模型

建立实用的遥感图像分析系统涉及诸多因素，其中，形成有效的目标提取算法体系和设立适于目前人工智能水平的基于知识的框架是两个核心问题。本文提出了一种利用对光谱特征空间分布进行可视化图形处理的新的分类方案，继而以光谱、纹理和空间知识对分类结果进行优化。这种集可视化分析、栅格ＧＩＳ处理功能和人类判读专家知识于一体的系统为解决遥感图像地物识别这一复杂问题提供了有效途径。