首页>
外国专利>
ALUMINUM OXIDE COMPREHENSIVE PRODUCTION INDEX DECISION-MAKING METHOD BASED ON MULTI-SCALE DEEP CONVOLUTIONAL NETWORK
ALUMINUM OXIDE COMPREHENSIVE PRODUCTION INDEX DECISION-MAKING METHOD BASED ON MULTI-SCALE DEEP CONVOLUTIONAL NETWORK
展开▼
机译:基于多尺度深卷积网络的铝氧化铝综合生产指标决策方法
展开▼
页面导航
摘要
著录项
相似文献
摘要
The invention provides a decision-making method of comprehensive alumina production indexes based on a multi-scale deep convolutional network. The method mainly consists of several sub-models: a multi-scale deep splicing convolutional neural network prediction sub-model reflecting the influence of bottom-layer production process indexes on the comprehensive alumina production indexes, a full connecting neural network prediction sub-model reflecting the influence of upper-layer dispatching indexes on the comprehensive alumina production indexes, a full connecting neural network prediction sub-model reflecting the influence of the comprehensive alumina production indexes ata past time on current comprehensive alumina production indexes, and a multi-scale information neural network integrated model for collaborative optimization of sub-model parameters. According to the method, through an integrated prediction model structure, a memory capacity of a superficial-layer network and a feature extraction capacity of a deep-layer network, a precise decision-making for the comprehensive alumina production indexes is realized.
展开▼