正确全面地理解大衍总数术

秦九韶的大衍总数术分三大部分。在求定部分中,须把一般的问数化为彼此互素的问数,秦氏分成四格进行。该文对关键的“约奇约偶”、“复乘奇复乘偶”和“始得元数”诸词给以适当解释,并阐明“去总求等”的必要,从而完满地处理了无数复数两格,表明秦氏的求定理论是正确的。对大衍总数术的求乘率部分,该文提出大衍求一术是秦氏对古历算家的求历法上元的过程的总结,总结中,使用了一些深刻的概念,用它可以解一个同余方程;秦氏又     

大学物理实验中混沌实验教学的探讨

介绍将非线性电路混沌实验引入到工科大学物理实验中的教学探讨.     

基于遗传算法的ATM网络中VCC路由选择方法

针对遗传算法强大的全局寻优和并行处理能力 ,提出了一种改进的遗传算法调度ATM网络动态路由的新算法。综述了使用遗传算法进行通信网络节点选择的问题 ,指出了原有算法进行遗传算法优化时存在的不足 ,并提出一种新的基于动态惩罚的解决策略 ,其思想是在进化的过程中 ,逐渐减小对可行解惩罚的力度 ,使网络向可行解逼近。通过简单模型的仿真 ,验证了动态惩罚策略的可行性和有效性。     

实时监控与发射决策专家系统推理机设计

实时监控与发射决策专家系统要求应能根据监控信息，不断进行知识推理，多层次判断直到最终导弹发射决策。本文对推理流程设计原则、控制策略、推理机的运行过程等进行了介绍。本推理机将面向对象方法和问题求解的黑板模型思想有机地结合在一起，将知识库分层模块化，极大提高了推理效率。该推理机具有结构清晰、条理分明、维护方便等特点。     

一维PSD背景光补偿的研究

分析了PSD的背景光非线性成因,并根据PSD的背景光非线性特点,提出了用神经网络的BP算法对PSD的背景光非线性进行了补偿,从而使PSD的背景光非线性获得了与线性近似的线性度．计算机仿真表明,该方法能有效地消除背景光的影响,在神经网络的输出端得到期望的线性输出．     

"启发式"教学在高校健美操课中的应用

为了提高高校健美操课的教学质量和效果,在教学实践中将传统的"注入式"教学改变为"启发式"教学,通过运用直观性、趣味性、模仿性、自主性、激励性、互补性等六种启发方法,使教学质量和教学效果得到了质的提高,并充分证明了"启发式"教学在高校健美操中的可行性和必行性.     

Variational iteration solving method of a sea-air oscillator model for the ENSO

A time delay equation for sea-air oscillator model is studied. The aim is to create an asymtotic solving method of nonlinear equation for the ENSO model. And based on a class of oscillators of ENSO model, employing the variational iteration method, the approximate solution of corresponding problem is obtained. It is proven from the results that the method of variational iteration method can be used for analyzing the sea surface temperature anomaly in the equatorial eastern Pacific of the atmosphere-ocean oscillation for ENSO model.     

栖息地与种群灭绝的生态系统耦合模型的近似解

研究了一类栖息地与种群生态环境问题,描述了动力学模型.利用广义泛函-变分迭代理论和方法,得到了相应模型的近似解,从而可以进一步进行预测和控制.     

Efficient Fault Tree Analysis of Complex Fault Tolerant Multiple-Phased Systems

Fault tolerant multiple phased systems (FTMPS), i.e., systems whose critical components are independently replicated and whose operational life can be partitioned in a set of disjoint periods, are called "phases". Because of their deployment in critical applications, their reliability analysis is a task of primary relevance to validate the designs. Fault tree analysis based on binary decision diagram (BDD) is one of the most commonly used techniques for FTMPS reliability analysis. To utilize the technique the fault tree structure of FTMPS needs to be converted into the corresponding BDD format. Our research work shows that the system BDD generation algorithms presented in the literature are too inefficient to be used for industrial complex FTPMS because of the problems, such as variable ordering and combination of large BDDs. This paper presents a more efficient approach consisting of a flatting pre-processing technique, a proved efficient ordering heuristic and a bottom-up generation algorithm. The approach tries to combine share-variable BDDs by complex combination operation firstly and then combine no-share-variable BDDs using simple combination operation, thus to alvoid the intensive computations caused by large BDD combination operations. An example FTMPS is analyzed to illustrate the advantages of our approach.