The most popular form of arti cial neural network, feedforward networks with sigmoidal activation functions, and a new statistical technique, multivariate adaptive regression splines (MARS) can both be classi ed as nonlinear, nonparametric function estimation techniques, and both show great promise for tting general nonlinear multivariate functions. In comparing the two methods on a variety of ...

To restrict the entry of polluting components into water bodies, particularly rivers, it is critical to undertake timely monitoring and make rapid choices. Traditional techniques assessing quality are typically costly time-consuming. With advent remote sensing technologies availability high-resolution satellite images in recent years, a significant opportunity for has arisen. In this study, ind...

The profit resulting from customer relationship is essential to ensure companies viability, so an improvement in customer retention is crucial for competitiveness. As such, companies have recognized the importance of customer centered strategies and consequently customer relationship management (CRM) is often at the core of their strategic plans. In this context, a priori knowledge about the ri...

Population poverty is one of the serious problems in Indonesia. The percentage population used as a means for statistical instrument to be guidelines create standard policies and evaluations reduce poverty. aims research are determine model using MARS Bagging then understand most influence variable Central Java Province 2018. result this showed better accuracy than model. Since, GCV value 0,009...

In our study, we examined the characteristics of nascent entrepreneurs using 2021 Global Entrepreneurship Monitor national representative data in Hungary. We topic based on Arenius and Minitti’s four-category theory framework. research, system-level feature sets with four machine learning modeling algorithms: multivariate adaptive regression spline (MARS), support vector (SVM), random forest (R...

This paper contributes to classification and identification in modern finance through advanced optimization. In the last few decades, financial misalignments and, thereby, financial crises have been increasing in numbers due to the rearrangement of the financial world. In this study, as one of the most remarkable of these, countries’ debt crises, which result from illiquidity, are tried to pred...

The estimation of functions with varying degrees smoothness is a challenging problem in the nonparametric function estimation. In this paper, we propose LABS (L\'{e}vy Adaptive B-Spline regression) model, an extension LARK models, for smoothness. model B-spline bases as generating kernels. basis consists piecewise k degree polynomials k-1 continuous derivatives and can express systematically By...

Remaining useful life (RUL) estimation is considered as one of the most central points in the prognostics and health management (PHM). The present paper describes a nonlinear hybrid ABC–MARS-based model for the prediction of the remaining useful life of aircraft engines. Indeed, it is well-known that an accurate RUL estimation allows failure prevention in a more controllable way so that the eff...