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1)  GD-SA algorithm
最陡下降-模拟退火算法
1.
In this paper, the cumulative stabilization constants 0f Cd-HA (Humic Acid) inthe alkali media have been studied and calculated using anode stripping voltammetry method(ASV) cornbined with GD-SA algorithm in artificial neural network(ANN)- The molecularweight of humic acid originated from coal was determined by ASV method and its averagevalue is 995.
采用阳极溶出伏安法结合人工神经网络法中的最陡下降-模拟退火算法,研究了在碱性介质中镉与天然水环境中的有机物质腐殖酸(HA)的配合物,用ASV法测定了来源于煤炭腐殖酸的富里酸分子量平均值为995。
2)  SDCMA
最陡下降常模算法
1.
Steepest decreasing constant modulus algorithm(SDCMA) and least square constant modulus algorithm(LSCMA) blind detection methods for multicarrier direct sequence-code division multiple access(MC DS-CDMA) sys-tems were proposed.
提出了MC DS-CDMA(多载波直扩码分多址)系统中的SDCMA(最陡下降常模算法)和LSCMA(最小二乘常模算法)的盲检测方法,并把这2种CMA(常模算法)盲检测和基于子空间的MMSE(最小均方误差)检测方法相比较。
2.
This paper suggests two Steepest Decreasing Constant Modulus Algorithm (SDCMA) blind detection schemes for MultiCarrier Direct Sequence-Code Division Multiple Access (MC DS-CDMA) systems, one of which is the SDCMA blind equalization, and based on the former, the other of which is proposed, i.
该文提出了用于MCDS-CDMA系统中的两种SDCMA(最陡下降常模算法)盲检测方法,一种是SDCMA盲均衡算法,在此基础上,提出了另一种联合均衡和多用户检测的SDCMA盲算法。
3)  steepest descent method
最陡下降法
1.
The maximum likelihood estimation of such model is discussed,and an approximate solution is obtained with the steepest descent method.
文中讨论了这类模型参数的极大似然估计 ,并采用最陡下降法来求其近似解 ,模拟试验证实此算法是有效
2.
According to this, the formula of the position and amplitude of highlight on smooth and rigid surface, where the monostatic and bistatic sonar in free field, is deduced by use of the steepest descent method.
在此基础上,利用最陡下降法推导出自由空间中光滑刚性表面在收发分(合)置时亮点位置和亮点幅值计算式。
4)  method of steepest descent
最陡下降法
1.
At first, the hidden node parameters of RBF are obtained by the classical clustering method; then those parameters are studied again by the method of steepest descent.
在用传统聚类方法得到初步的RBF隐节点参数之后,提出再用最陡下降法进行误差反传学习,进一步校正隐节点参数。
5)  steepest descent
最陡下降法
1.
The thermal equation and wave equation are solved by the methods of Hankel transform and steepest descent, and the general expression of displacement is obtained.
在二维情况下 ,忽略热扩散效应 ,利用汉克尔积分变换法和最陡下降法 ,求解热扩散方程和波动方程 ,得出了位移的解析表达式 。
6)  simulated annealing algorithm
模拟退火算法
1.
Intelligent optimization method for coal blending based on neural network and simulated annealing algorithm;
基于神经网络和模拟退火算法的配煤智能优化方法
2.
Application of simulated annealing algorithm in optimization of rubber formulation;
模拟退火算法在橡胶配方优化设计中的应用
3.
Study of optimization of nutritional diet based on simulated annealing algorithm;
基于模拟退火算法营养膳食优选的研究
补充资料:模拟退火算法
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性质:   一种随机优化算法,它以自然界的退火过程作为模拟对象,以求得全局最优。它在寻优过程是以一种概率形式来保留多个最优点,以使得该算法可跳出局部最优点。可以证明,只要计算时间足够长,模拟退火算法总可以找到全局最优解。由于化学化工研究中经常存在着局部最优的问题,故近年来模拟退火算法在化学化工研究中得到了广泛的应用。

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