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The algorithm is linear recursive and easy to realized by a recursive function in computer algebra systems.

在最后一章,我们研究了具有任意有理共振奇点的复自治多项式微分系统(即线性部分特征值比为n∶—m型奇点)的可标准化,可积性,线性化问题。

Based on the theory of recursive function ,this method adopts primitive recursive formula in function representation and is easy to be implemented on computer.

机器发现研究的目标是力图在事先不固定函数形式的条件下,发现新函数。

We analyze low-dimension topology, present an general algebra expression of cubelike recursive interconnected function. All of these works provide a new method of studying cubelike recursive networks.

2分析研究了低维立方形递归网络的拓扑类型,给出了立方形递归网络互连函数代数表达式,为研究立方形递(来源:ABC论文d2网www.abclunwen.com)归网络给出了新方法。

As to the multiple classification algorithms of large size rule set, we introduce a algorithms named recursive flow classification and this algorithms use the linear buffer to implement recursive map.

接着本文介绍了应用于大规模规则库的快速分类算法的解决方案——递归流分类,该算法是一种利用线性存储区分块递归映射的算法。

This thesis discussed the recursive least square algorithm, the linear least square algorithm and recursive orthogonal least square algorithm for the RBPNNs.

文中讨论了递推最小二乘算法、线性最小二乘法和递推正交最小二乘算法用于径向基概率神经网络的训练问题。

This thesis discussed the recursive least square algorithm , M-P pseudo-inverse algorithm and recursive orthogonal least square algorithm for the RBPNNs.

文中讨论了递推最小二乘算法、M-P伪逆算法和递推正交最小二乘算法用于径向基概率神经网络的训练问题。

Keywords: Machine discovery,recursive function,primitive recursive formula,goal restraint.

递归函数法,该方法把待求函数本身作为唯一的理论项,从而保证了理论项的合适性;其发现能力也有所提高,该方法采用原始递归式定义函数,递归函数在理论上比较完善,故该方法具有很好的理论依据并且便于计算机实现。

In this paper, the theories of generation function and recursive relation in combinatorics is used to analyze the time complexity of some special recursive algorithm, with three conclusions reached simultaneously, which is of valuable reference to the analysis and research on algorithm.

提出了用组合数学中的母函数与递推关系理论来分析一些特殊的递归算法的时间复杂度,并同时得出三个推论,在算法的分析与研究方面具有一定的参考价值。

We obtained a recursive relation between A"""""""" and Δn+l and used this recursive relation as well as inductive method to get an explicit basis of Δn.

我们得到了一定条件下Δ~n和Δ~(n+1)之间的递推关系,并由此用归纳证明的方法给出了Δ~n的基底。

Furthermore, how to apply the model efficiently in practice is deeply discussed. As the variance produced by the forecasting model as concerned, the real-time revised method of hydrological forecasting is highlighted. Next arranged, the multi-stratum recursive prediction model is put forward to forecast the error series that is a dynamic system. Later, an error selfregressive multi-stratum recursive prediction model is set up as well as a current algorithm offered. Finally, the difference collated model and the gloss control method, which are devoted to updating the mid-long term hydrological forecasting during the meditate period, are put forward.

在综合评述中长期水文预报现有方法和模型的基础上,采用时间序列分析方法,建立中长期水文预报的时间序列组合模型,并对模型如何在实际中有效应用作了较为深入的探讨;针对模型预报所产生的误差,又重点研究了水文预报实时修正方法:提出了采用多层递阶预报方法对误差序列这一动态系统进行预报,建立了误差自回归多层递阶预报模型,并提出了较为通用的解算方法;给出了水文中长期预报中期修正的残差相关模型和总量控制方法。

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