A-polynomial-regression-machine-learning-approach-for-reliability-based-optimization
This is a compact code for reliability analysis under uncertainty using a Polynomial Regression Machine Learning approach. The code implements a stochastic response surface method (SRSM) which quantifies the uncertainty in a performance function for the purpose of reliability-based design optimization (RBDO).
A-polynomial-regression-machine-learning-approach-for-reliability-based-optimization 최신버젼 다운로드
최종 버전 다운로드 (.zip)// repository documentation
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