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机译:基于改进的BAT算法优化Elm的电信界客户潮预测预警模型
College of Mathematics and System Sciences Shandong University of Science and Technology Qingdao China;
College of Mathematics and System Sciences Shandong University of Science and Technology Qingdao China;
College of Computer Science and Engineering Shandong University of Science and Technology Qingdao China;
Department of Mathematics and Physics Beijing Institute of Petro- chemical Technology Beijing China;
bat algorithm; customer churn; extreme learning machine; intelligent optimization;
机译:通过考虑客户区域来提高电信行业客户流失预测的可靠性
机译:使用粗糙集理论和集成分类技术来计算有效特征,以改善电信行业的客户流失预测
机译:基于粒子分类优化的电信客户流失预测的BP网络
机译:pENN:基于递归神经网络的电信行业客户流失预测方法
机译:使用社交网络分析探索模型,以改善手机运营商的客户流失预测。
机译:基于遗传算法的神经网络构建手足口疾病预测和预警模型的优化神经网络
机译:考虑客户区,提高电信部门流失预测的可靠性