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Author(s): |
Jianyong DAI, School of Nuclear Resource and Security Engineering, University of South China, Hengyang 421001, Hunan, China ;Research Center of Nuclear Energy Economic and Management, University of South China, Hengyang 421001, Hunan, China
shijiao Yang, School of Nuclear Resource and Security Engineering, University of South China, Hengyang 421001, Hunan, China
Changzhen Wu, School of Nuclear Resource and Security Engineering, University of South China, Hengyang 421001, Hunan, China |
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Abstract: |
Abstract: According to main characteristic of digital strip mine enterprise management, quarry technology economic parameter model is established by adaptive network-based fuzzy inference system; Then, immune particle swarm optimization algorithm which combines immune algorithm with particle swarm optimization algorithm, which can optimize parameter of model and create good economic benefit. For example strip mine of cement material, it is not only to realize real-time optimization of digital strip mine technology economic integration system, but also it provides important reference value for effective implementation of other digital enterprise.
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