PDF(6522 KB)
PDF(6522 KB)
PDF(6522 KB)
基于GA-ANFIS在石灰矿技术经济系统中的参数优化研究与应用实践
杨仕教1,2、戴剑勇2、曾晟2
Technical and Economic Parameter Optimization Research and Application for Practice in the Limestone Quarry Based on Genetic Algorithms-adaptive Network-based Fuzzy Inference System
Yang Shijiao1,2、 Dai Jianyong2、 Zeng Sheng2
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.
adaptive network-based fuzzy inference system / parallel genetic algorithms / technical and economic parameter
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