法官所用 发表于 2025-3-21 19:40:45
书目名称Hybrid Self-Organizing Modeling Systems影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0430165<br><br> <br><br>书目名称Hybrid Self-Organizing Modeling Systems影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0430165<br><br> <br><br>书目名称Hybrid Self-Organizing Modeling Systems网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0430165<br><br> <br><br>书目名称Hybrid Self-Organizing Modeling Systems网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0430165<br><br> <br><br>书目名称Hybrid Self-Organizing Modeling Systems被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0430165<br><br> <br><br>书目名称Hybrid Self-Organizing Modeling Systems被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0430165<br><br> <br><br>书目名称Hybrid Self-Organizing Modeling Systems年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0430165<br><br> <br><br>书目名称Hybrid Self-Organizing Modeling Systems年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0430165<br><br> <br><br>书目名称Hybrid Self-Organizing Modeling Systems读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0430165<br><br> <br><br>书目名称Hybrid Self-Organizing Modeling Systems读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0430165<br><br> <br><br>ALOFT 发表于 2025-3-21 22:08:46
Book 2009 systems. However, it is known to often under-perform on non-parametric regression tasks, while time series modeling GMDH exhibits a tendency to find very complex polynomials that cannot model well future, unseen oscillations of the series. In order to alleviate these problems, GMDH has been recentl可能性 发表于 2025-3-22 04:12:02
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Hybrid Computational Intelligence and GMDH Systems,ry complex polynomials that cannot model well future, unseen oscillations of the series. In order to alleviate the problems associated with standard GMDH approach, a number of researchers have attempted to hybridize GMDH with some evolutionary optimization techniques. This is the central theme of th乐章 发表于 2025-3-23 05:05:50
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Hybrid Genetic Algorithm and GMDH System, design the coefficients as well as the connectivity configuration of GMDH-type neural networks used for modelling and prediction of various complex models in both single and multi-objective Pareto based optimization processes. Such generalization of network’s topology provides near optimal networks