Qiao junfei (16 risultati)

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: New.

Buch. Condizione: Neu. Neuware - An expert discussion of intelligent optimization control in complex industrial processes In 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 numerical simulation and orthogonal experimental design with real historical data. The book explains how to create a heterogenous ensemble prediction model for carbon monoxide emissions in municipal solid waste incineration (MSWI) processes. The authors focus on intelligent optimization control of MSWI processes based on hardware-in-loop DT platforms. They demonstrate AI-driven modeling, control, optimization algorithms in real-world applications, including virtual-real data hybrid-driven deep modeling and intelligent optimal controls based on multiple objectives. Additional topics include: - A thorough introduction to numerical simulation modeling of whole industrial processes- Comprehensive explorations of the design, implementation, and validation of hardware-in-loop digital twin platforms- Practical discussions of AI-driven modeling, control, and optimization- Fulsome descriptions of the skills required to address challenges posed by complex industrial processes Perfect for environmental engineers and researchers, A Hardware-in-Loop Digital Twin Approach for Intelligent Optimization of Municipal Solid Waste Incineration will also benefit MSWI plant operators and managers, as well as AI and machine learning researchers and developers of environmental monitoring and control systems.…

Condizione: New.

Condizione: New. Jian Tang is a Professor at Beijing University of Technology and Deputy Director of Beijing Laboratory of Smart Environmental Protection. He received his Ph.D. from Northeastern University, Shenyang, China, in 2012. He has authorized over 50 US/Ch.

Condizione: New. Introduces a novel deep and broad regression algorithm specifically designed for small sample industrial modeling. It covers Deep Forest Regression for Industrial Modeling, Broad Forest Regression for Industrial Modeling, and Fuzzy Forest Regression.

Hardcover. Condizione: Brand New. 400 pages. 6.00x1.31x9.00 inches. In Stock. This item is printed on demand.

Condizione: New. PRINT ON DEMAND.