摘要
为掌握水泥原料矿山系统中的技术经济参数对矿石成本影响的关联规律性,首先运用自适应模糊神经网络对矿山技术经济系统建模,再用并行遗传算法对模型求解,得到了确保矿石成本最小的各项最优技术经济指标,为提高矿山生产管理与经济效益提供了重要的参考价值。
To request for relating law between technical and economic parameter and ore cost for a raw material quarry of cement, the paper set up technical and economic system model with adaptive network-based fuzzy inference system, solved solution of the system model with parallel genetic algorithms,and received optimal technical and economic indices. It provides important reference for production management and improving economic benefits in quarry.
出处
《中国工程科学》
2005年第6期61-65,共5页
Strategic Study of CAE
基金
国家自然科学基金资助项目 (6990 10 0 5 )
关键词
自适应模糊神经网络
并行遗传算法
技术经济参数
adaptive network-based fuzzy inference system
parallel genetic algorithms
technical and economic parameter
