摘要
针对煤炭企业传统物资消耗预测中存在的不足,以及影响煤炭企业物资消耗的因素复杂等特点,建立一种基于自适应神经模糊推理系统(ANFIS)的物资消耗预测模型.并结合某大型煤炭企业采矿生产中所消耗的钢材量和相对应的影响因素,对模型的预测效果进行了验证.
Established prediction model of consumed material in coal enterprise based on adaptive-network-based fuzzy inference systems (ANFIS) network, which analyzed deficiency of traditional consumed material prediction, and complex factor affecting consumed material.At last, it verified the forecasting model result that used steels quantity and affected factor in such coal enterprise.
出处
《煤炭学报》
EI
CAS
CSCD
北大核心
2004年第6期760-763,共4页
Journal of China Coal Society
关键词
自适应
神经网络
模糊推理系统
煤炭企业
物资消耗
预测
adaptive
neural network
fuzzy inference system
coal enterprise
consumed material
prediction
