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利用机器学习和Shapley加性解释(SHapley Additive exPlanation, SHAP)方法对 ...
氢吸附性能评估及机器学习模型构建基于SHAP解释的页岩储氢潜力研究,通过整合291组地质参数数据,开发了决策树、随机森林、梯度提升树和人工神经网络四类预测模型,发现随机森林模型预测精度最高(测试集R2=0.9448)。SHAP敏感性分析表明储层压力(P)、比 ...
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