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机译:通过压力刺激电信号研究预测水泥基材料抗压强度的神经网络方法
Department of Electronics, Technological Educational Institute of Athens, Agiou Spiridonos, Aigaleo 12210, Greece;
Department of Electronics, Technological Educational Institute of Athens, Agiou Spiridonos, Aigaleo 12210, Greece;
Department of Electronics, Technological Educational Institute of Athens, Agiou Spiridonos, Aigaleo 12210, Greece;
Department of Electronics, Technological Educational Institute of Athens, Agiou Spiridonos, Aigaleo 12210, Greece,School of Eneineering and Design. Brunel University. Uxbridge UB8 3PH. UK;
non-destructive testing; compressive strength; cement; pressure stimulated currents; micro cracks; neural networks; radial basis function; fuzzy means;
机译:人工神经网络预测孔径水泥地缘聚合物的预测抗压强度(卷31,PG S 733,2019的收缩)
机译:人工神经网络在水泥基砂浆抗压强度预测中的应用
机译:广义回归神经网络方法与自适应神经模糊推理系统预测岩石无侧限抗压强度的比较研究
机译:轻量级原料构建块的抗压强度预测:神经网络方法
机译:数学信号处理中的现代问题:量化压缩感和随机神经网络
机译:预测遭受硫酸盐侵蚀的水泥基材料抗压强度的方法
机译:缩回注意:人工神经网络预测基于Portland水泥基地质聚合物的预测强度