丢番图方程；正整数解；同余；递归序列。
Diophantine equation; Positive integer solution; congruence; Recurrent sequence.
导出有限域上任意线性递归序列的迹表示和周期。
The trace representation and the period of any linear recurring sequence over a finite field are obtained.
域模型是一个可以序列化为XML的嵌套对象的递归数据结构。
The domain model is a recursive data structure of nested objects that can be serialized as XML.
依赖于目标(序列)的形式，赋值被递归地定义。
Assignment is defined recursively depending on the form of the target (list).
在此我们提出用IFS模型及递归的IFS (RIFS)模型来拟合完全基因组与蛋白质序列的测度表示。
The IFS model and recurrent IFS (RIFS) model are proposed to simulate the measure representation of complete genomes and protein sequences.
该方法的新颖性在于定义时间序列的递归状态时，不仅考虑局部相空间距离而且考虑局部排序模式分布结构。
The innovation of HRP is that the recurrence is defined not only by local phase space distance, but also by the local order patterns structure of a time series.
本文解决了整环上两条序列的最短线性递归问题，并给出了递归极小多项式的方法。
This paper presents a solution to the problem of the shortest linear recurrence of two sequences over an integral domain and describes the recurrence of the minimal polynomial.
本文在一定的条件下证明了基于NA样本序列的递归型密度核估计的均方相合性和逐点强相合性。
In this paper, based on NA samples, we will prove that recursive density kernel estimators are consistent inr-order mean, and the pointwise strong consistency under suitable conditions.
该方法对于给定了优先序列的一组集装箱空间存放请求，通过递归思想来分配空间，以达到空间占用的最小化。
The method for a group of container storage space request that have been given the priority sequence, recurrent allocation of space, to achieve the minimum use of space.
第二章刻画了一类满足三项递归关系的实零点多项式序列的零点位置和零点重数的关系。
In the second chapter, we characterize the relations between locations and multiplicities of zeros of a sequence of real-rooted polynomials defined by a three-term recurrence relation.
ESN(回声状态网络)是一种新型的递归神经网络，可有效处理非线性系统辨识以及混沌时间序列预测问题。
As a new type of recurrent neural network, echo state network (ESN) is applied to nonlinear system identification and chaotic time series prediction.
ESN(回声状态网络)是一种新型的递归神经网络，可有效处理非线性系统辨识以及混沌时间序列预测问题。
As a new type of recurrent neural network, echo state network (ESN) is applied to nonlinear system identification and chaotic time series prediction.
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