2014 Nuclear orientation experiments on In3Ce, Pb3Ce, Sn3Ce show that the first compound is well ordered, that Sn3Ce is a Kondo lattice and that further experiments must be performed in order to confirm the Kondo state of Pb3Ce. A simple interpretation is proposed to explain the behaviour of these abnormal compounds. LE JOURNAL DE PHYSIQUE LETTRES TOME 39, 1 er MARS 1978,

Introduction: The Shallow Radar instrument (SHARAD) on the Mars Reconnaissance Orbiter (MRO) has been successful at penetrating into icy deposits [1-3], but most of the rocky units are opaque to SHARAD. The main exceptions to this are the youngest major volcanic surfaces, Cerberus Fossae 2 and 3 units and Amazonis Planitia 2 north unit [4]. We suggest that these units have low radar loss becaus...

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...

The past few years have witnessed a growing recognition of soft computing technologies that underlie the conception, design and utilization of intelligent systems. According to Zadeh [1], soft computing consists of artificial neural networks, fuzzy inference systems, approximate reasoning and derivative free optimization techniques. In this paper, we report a performance analysis among Multivar...

The purpose of the study is to analyze affective traits that affect mathematics achievement through Structural Equation Modeling (SEM) as a traditional regression model and Multivariate Adaptive Regression Splines (MARS), one data mining methods. Modeling, regression-based methods, quite popular for social sciences due various advantages it offers; however, requires very intensive assumptions. ...

In this article we discuss how we have predicted the third generation (3G) customers using logistic regression analysis and statistical tools like Classification and Regression Tree (CART), Multivariate Adaptive Regression Splines (MARS), and other variables derived from the raw variables. The basic idea reflected in this paper is that the performance of logistic regression using raw variables ...

The objective of the proposed study is to explore the performance of credit scoring using a two-stage hybrid modeling procedure with artificial neural networks and multivariate adaptive regression splines (MARS). The rationale under the analyses is firstly to use MARS in building the credit scoring model, the obtained significant variables are then served as the input nodes of the neural networ...

a r t i c l e i n f o Keywords: Sales forecasting Computer wholesaler Multivariate adaptive regression splines Artificial neural networks IT industry Artificial neural networks (ANNs) have been found to be useful for sales/demand forecasting. However, one of the main shortcomings of ANNs is their inability to identify important forecasting variables. This study uses multivariate adaptive regres...

We report a benchmarking of neural networks and regression techniques in a time series forecasting task. The estimation errors, computing costs and additional information obtained by Bayesian neural networks are compared with other neural network models and with Multivariate Adaptive Regression Splines (MARS). The Mackey Glass time series in chaotic regime was used to generate the two data sets...