## 1 Introduction
[11] tried to predict the peak particle velocity (PPV) with the help of the fuzzy logic approach using parameters of distance from blast face to vibration monitoring point and charge weight per delay. [PERSON] et al. [12] applied a novel artificial method, called a Support Vector Machine (SVM), which has been proposed for the prediction of blast-induced ground vibration by taking into consideration the maximum charge per delay and the distance between the blast face and monitoring point. [PERSON] et al. [13] used two artificial intelligence techniques, namely, the adaptive neuro-fuzzy inference system (ANFIS) and artificial neural network, for the prediction of ground vibration in quarry blasting sites. [PERSON] et al. [14] created a set of nonlinear mathematical models to solve the problem. [PERSON] et al. [15] proposed a new hybrid evolutionary artificial neural network (ANN) optimized by a genetic algorithm (GA) to predict peak particle velocity (PPV). [PERSON] et al. [16] explored the possibility of using three methods of soft computing, namely, genetic programming (GP), response surface methodology (RSM) and multivariate adaptive regression splines (MARS), to predict the peak particle velocity (PPV) values. [PERSON] et al. [17] used a particle swarm optimization (PSO) and extreme gradient boosting machine (XG Boost) to create the PSO-XG Boost mode. [PERSON] et al. [18] described an approach of mathematical processing of signals using spectral analysis, wavelet analysis and fractal analysis. [PERSON] et al. [19] applied a new intelligent model (regression tree-based), known as gene expression programming (GEP). The effect of the prospective research is the development of an original and, in particular, effective procedure to record the impact of blasting works with periodical measurements of vibration intensity or monitoring the vibrations' impact on the buildings in the surrounding area [20]. Due to the complex way in which seismic waves propagate near the quarries, the assessment process may show differences between the expected values and those measured during the blasting work. The identified differences emphasize the importance of seismic measurements in situ as an appropriate method to determine the level of safety of the blasting work in quarries with respect to the seismic effect [21; 22; 23; 24]. The systematic repetition of measurements helps to improve the efficiency of blasting works [25; 26; 27]. The planning of blasting works in quarries depends on measurements carried out during the blasting works. Based on the pre-measured parameters, the parameters of the next blast, such as burden borehole spacing and drilling angle, are adjusted, and the firing pattern, in addition to charge weight per delay and distance, is the most important parameter to reduce the influence of blasting vibration. The objects located in the vicinity of the blasting can be protected from seismic effects by proper timing charges in boreholes during the blasting works. The development of electronic detonators has greatly increased the safety and accuracy of blasting works and their timing [28; 29; 30]. Suppose the intensity of the vibration is large enough. In this case, a violation of the environment or even its destruction may occur, so it is necessary to find a suitable evaluation method, which on the one hand, ensures the security of the non-infringement and, on the other hand, would determine the most effective blasting technology [31; 32; 33; 34]. The impact assessment of the seismic effects caused by the blasting works depends on the distance of the blasting from the objects and the charge weight per delay used in blasting. To determine the limit of charge weight per delay, the minimum distance is needed to determine the attenuation of the seismic waves in the monitored area [34; 35; 36; 37]. Hundreds of studies have been completed that focused on the regulation of the vibrations, and the most relevant practical methods are as follows [38], which recommended:  
1. Application of time-delay between individual boreholes;
2.