在算法上

Aloha and binary tree algorithms is analyzed. As a result,a new anti-collision algorithm is put forward.

在对ALOHA算法和二进制算搜索法进行分析的基础上提出一种新的防冲突算法。

It alto introduced the relative algorithms in these technologies, and then compared the pros and cons of the various algorithms.

介绍了这些技术所用到的相关算法，并在此基础上分析比较了各个算法的优劣。

First discarding the thought of fitting by AR model, the ARMA model is fitted by a high order MA model using Gevers-Wouters algorithm on the basis of related functions of ARMA model. Then according to the parameters of the fitted MA model, the ARMA model parameter estimation through solving a system of antipathic linear equations using the least squares method is obtained.

首先摈弃传统的拟合到AR模型的思考方法，而是基于ARMA模型的相关函数用Gevers-Wouters算法对ARMA模型拟合到高阶滑动平均模型；然后在拟合的MA模型参数基础上，用最小二乘算法求解一个不相容的线性方程组，从而估计出ARMA模型参数。

Further more, we put forward a mixed tasks scheduling algorithm that canprocess periodic and aperiodic tasks.

第三，在以上算法的基础上，进一步提出了既可调度周期任务也可调度非周期任务的混合任务调度算法，它将所有非周期任务转化为周期任务进行调度，并有效地利用处理机无故障时的空闲资源。

For the question of material transportation in emergency situation ,the paper gives an arithmetic operators,which changes the interval number order into real number order,and gives the arithmetic of interval number shortest path.

针对紧急状态下物资调配时间为区间数问题，在经典的Dijkstra算法基础上，通过定义一个算子，把区间数序关系转换成实数序关系，对区间数进行排序，给出了区间数的最短路算法。

The idea of operation in beam-space and coherent subspace method were introduced into acoustic vector array signal processing.

把声压阵的波束域高分辨算法的思想和相干子空间方法的思想引入到声矢量阵列信号处理，在MichaelZoltowsk提出的矢量阵的数学模型的基础上推导出了声矢量阵波束域宽带聚焦MUSIC算法，并作了计算机仿真研究。

So it is significant to research how to solve expert assignment problem.

在解决专家分配问题上做过一些基础性的工作，提出了使用遗传算法及一种信息素指导变异的新算法求解该问题。

We firstly summarize the NN system modeling methods and the popular optimization algorithms, and point out the deficiencies, the limitation of noise cancellation modeling and the need of human intelligence participation, in our former optimization work after analysis. An abstract problem is extracted. It is to find out control variant that makes system output optimized using the data comprising a sample set with N x samples and their corresponding y, and it does not explore given system and achieves full automatic computation procedure. Next we propose a multi-variant controlled system optimization method utilizing CASSANDRA-I small type neural computer and program its application software. Moreover systematic experiments are made to demonstrate the method's validity, ability of noisy samples disposal and practical application.

我们总结了神经网络系统建模方法以及得到广泛采用的优化算法，并分析指出我们前阶段的优化工作中存在的去噪声建模有局限性和计算过程需人干预的不足，在此基础上把问题抽象为：已从系统获得含N个控制量样本的样本集S以及每个样本对应的系统输出，如何依据这些数据求出一个使系统输出y得到优化的控制量x，而不研究具体系统，实现不需要人智能参与自动完成的计算过程；提出应用人工神经网络硬件系统——CASSANDRA-I小型神经计算机的多变量控制系统优化方法，设计完成了其应用软件；并进行系统的实验工作，验证算法的有效性以及此方法处理带噪声样本和实际应用能力。

In this paper, based on the analysis of the genetic algorithm on binary coding, a preliminary discussion is made on the genetic algorithm of natural number coding.

在分析基于二进制编码的遗传算法基础上，对基于自然数编码的遗传算法作了初步的探讨。

Based on the initial parameters that have been determined in the first step, the structure of a fuzzy neural network is optimized by using a genetic algorithm with the decimal coding scheme, and the parameters are optimized with the binary coding scheme.

在给定初始参数基础上，利用基于十进制编码的遗传算法实现模糊神经网络的结构优化，用基于二进制编码的遗传算法实现模糊神经网络的参数优化。

For a big chunk of credit-card losses; the number of filings (and thus charge-off rates) would be rising again, whether

年美国个人破产法的一个改动使得破产登记急速下降，而后引起了信用卡大规模的亏损。

Eph. 4:23 And that you be renewed in the spirit of your mind

弗四23 而在你们心思的灵里得以更新