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  • Small Sample Modelling Based on Deep and Broad Forest Regression

    Theory and Industrial Application

    Series series Emerging Methodologies and Applications in Modelling, Identification and Control
    Small Sample Modelling Based on Deep and Broad Forest Regression: Theory and Industrial Application delves into tree-structured methods in the industrial sector, encompassing classical ensemble learning, tree-structured deep forest classification, and broad learning systems with neural networks. It introduces an innovative deep/broad learning algorithm for small-sample industrial modeling tasks. ... Read more

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  • A Hardware-in-Loop Digital Twin Approach for Intelligent Optimization of Municipal Solid Waste Incineration

    AI and Its Application to Complex Industrial Processes

    An expert discussion of intelligent optimization control in complex industrial processesIn A Hardware-in-Loop Digital Twin Approach for Intelligent Optimization of Municipal Solid Waste Incineration: AI and Its Application to Complex Industrial Processes, a team of distinguished researchers delivers an innovative new approach to integrating virtual mechanism data generated through coupled ... Read more

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