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机译:人工智能方法的膨胀土膨胀强度的预测建模:安,ANFIS和GEP
Department of Civil Engineering State Key Laboratory of Ocean Engineering Shanghai Jiao Tong University Shanghai 200240 China;
Department of Civil Engineering State Key Laboratory of Ocean Engineering Shanghai Jiao Tong University Shanghai 200240 China;
Department of Civil Engineering State Key Laboratory of Ocean Engineering Shanghai Jiao Tong University Shanghai 200240 China;
Department of Civil Engineering COMSATS University Islamabad Abbottabad Campus Abbottabad 22060 KPK Pakistan;
Department of Civil Engineering State Key Laboratory of Ocean Engineering Shanghai Jiao Tong University Shanghai 200240 China;
Expansive soils; Artificial intelligence approaches; Swell pressure; Unconfined compression strength; Sensitivity and parametric analyses;
机译:利用自适应神经模糊推理系统(ANFIS)和人工神经网络(ANN)构建描述O / W模型系统肉糜表观粘度和复数粘度值的预测模型
机译:人工智能模型预测石油污染土壤中急性植物毒性
机译:使用基于人工智能的建模方法预测水溶液中氯酚的吸附去除
机译:基于现象学和人工智能方法的先进混合仿真模型预测地震荷载作用下结构的响应
机译:开发一个模型来预测膨胀土上路面的不平整度。
机译:ANFIS-PSO和ANFIS-GA模型在预测Al2O3-MWCNT /油杂化纳米流体的热物理性质中的可行性
机译:用于预测生物柴油柴油柴油混合物的运动粘度和密度的自适应神经模糊推理系统(ANFIS)和人工神经网络(ANN)