## 1 Introduction  
Employing cold-formed steel (CFS) cracking systems has been extensively developed around the world due to their valuable structural benefits and workability, especially for storage and warehouse applications [1]. In recent years, various researchers and engineers have investigated different approaches to enhance the overall performance of these systems by utilizing different CFS upright strengthening methods. In this regard, many studies indicated that CFS cracking systems under flexural loading experience different types of failures, including distortional buckling failure modes [2], which can affect the stability status of upright frames [3]. Various studies worked to improve different characteristics of uprights not only to enhance the bearing capacity, but also to extend the application of these systems. Following the study of cracking system performances, [PERSON] et al. [4] applied a series of eccentrically and concentrically loading on the CFS upright connections and reported that by increasing the eccentricity, the beams strength decreases. [PERSON] and [PERSON] [5] investigated novel CFS channel sections with double and single stiffeners and showed that local and distortional buckling can be controlled usingthis method. In another study, [PERSON] et al. [6] conducted a series of monotonic and cyclic experiments on CFS members. Their results indicated that the CFS channels could not resist the buckling deformations due to the lack of flexural stiffness. [PERSON] and [PERSON] [7] studied C-shaped CFS elements with or without edge stiffeners. They employed two types of stiffeners and reported an increase in the capacity of CFS members due to applying stiffeners. [PERSON] et al. [8] evaluated the influence of a new reinforcement approach on the compressive capacity of cracking upright profiles. In another study, [PERSON] et al. [9] also performed a series of flexural tests on CFS sections with or without the reinforcement approach. The results indicated that the proposed reinforcements considerably improved the ultimate flexural capacity. The expensive and time-consuming nature of actual experimental tests has encouraged researchers to employ other types of approaches for structural evaluations, such as numerical methods. Since the finite element method (FEM) has major priorities in comparison to other numerical approaches, employing this technique has drastically increased for a variety of engineering problems, especially CFS cracking systems. [PERSON] et al. [10] numerically studied the flexural behavior of stiffened CFS slotted beams subjected to different loading scenarios. [PERSON] and [PERSON] [11], in a numerical investigation, studied the behavior and strength of Lipped channel beams of various lengths. They suggested an approach to design these beams under the interaction of local, distortional and overall lateral-torsional buckling based on the Euro code provisions. There are several other studies in the literature that simulated the behavior and strength of CFS cracking frames through FEM [12; 13; 14]. Artificial intelligence is a group of techniques related to intelligent methods that consider each problem with a defined intelligence algorithm. Most of the applications of these techniques in engineering problems are focused on either predicting or verifying a problem. Prediction accuracy depends on a variety of variables, such as error, soft computing approach, estimation of the problems before the prediction process, etc. Backpropagation (BP) approaches, which are considered among classic techniques, are generally proposed to train artificial neural networks (ANN). Machine learning is another type of these algorithms that benefits from a learning circuit. Some of the rotational properties of CFS cracking systems have been successfully estimated by the machine learning method in the past years [15].