分组数据处理方法
算法
多项式分布
计算
回归
计算机科学
理想(伦理)
多项式回归
启发式
数学
统计
人工智能
机器学习
哲学
认识论
标识
DOI:10.1080/00031305.1981.10479358
摘要
Abstract In 1966, the Russian cyberneticist, A.G. Ivakhnenko, introduced a technique for constructing an extremely high-order regression-type polynomial. The algorithm, the Group Method of Data Handling (GMDH), builds a multinomial of degree in the hundreds, whereas standard multiple regression becomes bogged down in computation and linear dependence. The GMDH method is ideal for complex, unstructured systems where the investigator is only interested in obtaining a high-order input-output relationship. Also, the Ivakhnenko algorithm is heuristic in nature and is not based on a solid foundation as is regression analysis.
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