May 25, 2020 · This paper offers two novel prediction tools for the PSS prediction based on radial basis function neural network (RBFNN) and meta-heuristic ...
This paper offers two novel prediction tools for the PSS prediction based on radial basis function neural network (RBFNN) and meta-heuristic computing paradigms ...
This paper offers two novel prediction tools for the PSS prediction based on radial basis function neural network (RBFNN) and meta-heuristic computing paradigms ...
Two novel combined systems for predicting the peak shear strength using RBFNN and meta-heuristic computing paradigms.
Two novel combined systems for predicting the peak shear strength using RBFNN and meta‑heuristic computing paradigms ... forecasting shear wave velocity using ...
Two novel combined systems for predicting the peak shear strength ...
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This paper offers two novel prediction tools for the PSS prediction based on radial basis function neural network (RBFNN) and meta-heuristic computing paradigms ...
Two novel combined systems for predicting the peak shear strength using RBFNN and meta-heuristic computing paradigms ... ACM Computing Classification System ...
This paper offers two novel prediction tools for the PSS prediction based on radial basis function neural network (RBFNN) and meta-heuristic computing paradigms ...
The peak shear strength of discontinuities between two different rock types is essential to evaluate the stability of a rock slope with interlayered rocks.
These metaheuristic algorithms are combined with the MLP model to develop five hybrid ML models for joints shear strength estimation, namely SMA-MLP, CSA-MLP, ...