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机译:基于属性约简的两步案例推理方法预测终点磷含量
School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, 100083 China,Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing, 100083 China;
School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, 100083 China,Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing, 100083 China;
School of Metallurgy and Ecological Engineering, University of Science and Technology Beijing, Beijing, 100083 China;
School of Metallurgy and Ecological Engineering, University of Science and Technology Beijing, Beijing, 100083 China;
attributes reduction; correlation-based selection; information gain; case-based reasoning; genetic algorithm;
机译:基于属性约简的基于案例的两步推理方法预测终点磷含量
机译:遗传算法优化的基于属性权重的案例推理模型预测RH钢水终点温度
机译:一种改进的基于案例的推理方法及其在碱性氧气炉终点预测中的应用
机译:基于注水原理的案例推理属性约简方法
机译:一种用于开发优化的电磁设备以填充基于案例的推理系统的方法。
机译:经齿轮管主动脉瓣植入基于案例推理的相似度测量和属性选择
机译:基于内容的预测网站人口统计属性的方法