A chaos recurrent ANFIS optimized by PSO to predict ground vibration generated in rock blasting
W Zhu, HN Rad, M Hasanipanah - Applied Soft Computing, 2021 - Elsevier
The use of explosives is a common and economical method to fragment and/or displace
hard rocks in tunnels and surface and underground mines. Ground vibration, as a side …
hard rocks in tunnels and surface and underground mines. Ground vibration, as a side …
A new development of ANFIS–GMDH optimized by PSO to predict pile bearing capacity based on experimental datasets
Prediction of ultimate pile bearing capacity with the aid of field experimental results through
artificial intelligence (AI) techniques is one of the most significant and complicated problem …
artificial intelligence (AI) techniques is one of the most significant and complicated problem …
Examining hybrid and single SVM models with different kernels to predict rock brittleness
The aim of this study was twofold:(1) to assess the performance accuracy of support vector
machine (SVM) models with different kernels to predict rock brittleness and (2) compare the …
machine (SVM) models with different kernels to predict rock brittleness and (2) compare the …
Applying a meta-heuristic algorithm to predict and optimize compressive strength of concrete samples
The successful use of fly ash (FA) and silica fume (SF) materials has been reported in the
design of concrete samples in the literature. Due to the benefits of using these materials …
design of concrete samples in the literature. Due to the benefits of using these materials …
A new hybrid simulated annealing-based genetic programming technique to predict the ultimate bearing capacity of piles
The aim of this research is to develop three soft-computing techniques, including adaptive-
neuro-fuzzy inference system (ANFIS), genetic-programming (GP) tree-based, and …
neuro-fuzzy inference system (ANFIS), genetic-programming (GP) tree-based, and …
Cumulative Major Advances in Particle Swarm Optimization from 2018 to the Present: Variants, Analysis and Applications
Abstract Particle Swarm Optimization (PSO) is a key tool in Artificial Intelligence, is well-
known to the public for its effectiveness in addressing complex and diverse problems. It …
known to the public for its effectiveness in addressing complex and diverse problems. It …
A novel intelligent ELM-BBO technique for predicting distance of mine blasting-induced flyrock
Blasting is an economical technique for rock breaking in hard rock excavation. One of its
complex undesired environmental effects is flyrock, which may result in human injuries …
complex undesired environmental effects is flyrock, which may result in human injuries …
Prediction of compressive strength of concrete modified with fly ash: Applications of neuro-swarm and neuro-imperialism models
In this study, two powerful techniques, namely particle swarm optimization (PSO) and
imperialist competitive algorithm (ICA) were selected and combined with a pre-developed …
imperialist competitive algorithm (ICA) were selected and combined with a pre-developed …
Analysis of the influence of international benchmark oil price on China's real exchange rate forecasting
The exchange rate forecasting plays an important role in the economic and financial fields.
Oil price fluctuations have a great impact on the country's economic activity. Based on the …
Oil price fluctuations have a great impact on the country's economic activity. Based on the …
Research on vibration effect of tunnel blasting based on an improved Hilbert–Huang transform
Y Zhao, RL Shan, H Wang - Environmental Earth Sciences, 2021 - Springer
Through a tunnel-blasting project, the effect of tunnel-blasting vibration has been analyzed
from the perspective of vibration energy transfer. The non-linear regression method was …
from the perspective of vibration energy transfer. The non-linear regression method was …