The machine learning models performed much better than the traditional technique as only areas that were identified as most susceptible were locations where landslides had occurred in the past. Within the three
For implementing SVM in R Language Program, SVM function in e1071 package was used for classification task. The TUNE() function from e1071 package was used. This generic function tunes hyper-parameters of statistical methods using a grid-search over supplied parameter ranges. It returns the best...
the terminology is problematic here. In experimental research, independent variable has a special meaning: it is a circumstance or characteristic that is manipulated. The vast majority of independent variables are nominal-scale attributes (e.g., device, feedback modality, display type, gender). This...
The quality of energy resulting from ESs based on WT is considered one of the most important things that must be paid attention to, and this is due to its importance in the industrial field. As is known, low PQ causes several problems in the operation of machines and in the electrical ne...
In this article, the potential Kadomtsev-Petviashvili (pKP) type coupled system with variable coefficients is studied, which have many applications in wave phenomena and soliton interactions in a two-dimensional space with time. In this framework, Hirota
|. (2.5) In this way, the importance of each covariate x j is directly controlled by its largest absolute coefficient. We propose the sup-norm regularization for MSVM: min b,w 1 n ni=1 Kk=1 I(y i = k)[b k +w T k x i +1] ...
In this article, the potential Kadomtsev-Petviashvili (pKP) type coupled system with variable coefficients is studied, which have many applications in wave phenomena and soliton interactions in a two-dimensional space with time. In this framework, Hirota
Given the background of the use of Neural Networks in problems of apple juice classification, this paper aim at implementing a newly developed method in the field of machine learning: the Support Vector Machines (SVM). Therefore, a hybrid model that combines genetic algorithms and support vector...
The importance ranking of RF is utilized to correct the drivers obtained by Lasso to avoid the innocent elimination of valid drivers. In short, the filter method is to screen features by studying the correlation between feature variables and target variables, and it is independent from other ...
The combination here is the SE attention mechanism, which enhances feature representation and feature fusion by modelling the importance of each channel feature map, thus effectively improving the learning effect of the network for different features and enhancing model performance. At the same time, ...