机译:人工神经网络-粒子群算法在气体注入过程中沥青质析出预测中的应用及与高斯过程算法的比较
Department of Petroleum Engineering, Abadan Faculty of Petroleum Engineering, Petroleum University of Technology, Abadan, Iran;
Department of Computer Engineering, School of Engineering, Persian Gulf University, Bushehr 7516913817, Iran;
Department of Petroleum Engineering, Ahwaz Faculty of Petroleum Engineering, Petroleum University of Technology (PUT), Ahwaz, Iran;
Department of Petroleum Engineering, Ahwaz Faculty of Petroleum Engineering, Petroleum University of Technology (PUT), Ahwaz, Iran;
asphaltene precipitation; gas injection; artificial neural networks; particle swarm optimization; Gaussian process;
机译:人工神经网络-粒子群算法在气体凝结露点压力预测中的应用及与高斯回归的比较-粒子群算法
机译:用杂交遗传算法和粒子群优化预测气体喷射过程中沥青质沉淀
机译:帝国主义竞争算法优化的人工神经网络预测沥青质沉淀
机译:基于LM-BP神经网络和粒子群算法优化的餐厨垃圾厌氧消化沼气产量预测模型
机译:高斯工艺模型,用于计算机视觉和计算流体动力学应用中的应用算法
机译:基于快速模拟退火算法优化的高斯过程回归的火车轮径预测
机译:缩回文章:使用杂化遗传算法和粒子群优化和神经网络预测沥青质沉淀
机译:基于分层神经网络的探地雷达数据处理系统。 CH / 1049/6的年终报告:神经网络与遗传算法相结合的应用,以优化寒冷气候下的土壤清理作业