Decision tree (DT), generalized regression neural network (GR) and multivariate adaptive regression splines (MARS) models for sediment transport in sewer pipes

Multivariate Adaptive Regression Splines

Discussion: Multivariate Adaptive Regression Splines

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مدلسازی رویشگاه بالقوه گونه گیاهی boiss.)) ferula ovinaبا استفاده از روش های artificial neural network و multivariate adaptive regression splines در منطقه فریدونشهر استان اصفهان

نحوه پراکنش مکانی گونه ها متضمن درک عوامل بوم شناختی موثر برآنها می باشد که نقش برجسته ای در ارزیابی، حفاظت، توسعه و برنامه ریزی های منطقه ای دارد. بررسی پراکنش رویشگاه و تناسب آن برای گونه های گیاهی اغلب با محدودیت و کمبود اطلاعات روبرو است. یکی از ابزارهای بالقوه جهت کامل نمودن و رفع کمبود اطلاعات درباره علل پراکنش گونه ها و تناسب رویشگاهی، استفاده از مدلسازی پراکنش بالقوه گونه ها می باشد که ...

Predicting Carbon Monoxide Emissions with Multivariate Adaptive Regression Splines (MARS) and Artificial Neural Networks (ANNs)

Emissions from motor vehicles need to be predicted fairly accurately to ensure an appropriate air quality management plan. This research work explores the use of a nonparametric regression algorithm known as the multivariate adaptive regression splines (MARS) in comparison with the artificial neural networks (ANN) for the purpose of best approximation of the relationship between the input and o...

Mining the Customer Credit Using Classification and Regression Tree and Multivariate Adaptive Regression Splines

Credit scoring has become a very important task as the credit industry has been experiencing severe competition during the past few years. The artificial neural network is becoming a very popular alternative in credit scoring models due to its associated memory characteristic and generalization capability. However, the relative importance of potential input variables, long training process and ...