机译:基于改进的AdaBoost.RT算法的整体ELM预测钢包炉钢水温度
Inf. Sci. & Eng. Sch., Northeastern Univ., Shenyang, China;
artificial intelligence; regression analysis; ensemble ELM based; extreme learning machine; genetic algorithm BP network; hybrid artificial intelligent technique; hybrid intelligence method; improved generalization performance; metallurgic process ladle furnace; modified AdaBoost.RT algorithm; molten steel ladle furnace; practical producing process; rapid speed ensemble predictor; regression problem studies; self adaptively modifying threshold value; temperature prediction; temperature prediction model; AdaBoost.RT; ensemble algorithm; extreme learning machine (ELM); ladle furnace; self-adaptive;
机译:树-结构集成通用回归神经网络预测钢包炉内钢水温度
机译:一种基于ELM的混合合奏模型,改进的Adaboost.rt算法预测铁矿石烧结特征
机译:“基于多核的局部线性正则化网络及其在钢包炉中钢水温度预测中的应用”勘误表[基于Knowl。的系统36(2012)280-287]
机译:基于改进的Adaboost.RT算法的集成SVR预测燃气轮机压缩机的退化
机译:基于模糊模型的氮化炉预测温度控制。
机译:基于ELM和改进AdaBoost.RT算法的混合集成模型预测铁矿石烧结性能。
机译:使用动态集合来回归钢水炉中钢水温度预测