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 numerical simulation and orthogonal experimental design with real hi...

This book by leading experts consolidates information on the numerical simulation and AI-driven modeling of multiple points of dioxin concentration in the municipal solid waste incineration (MSWI) process to provide readers with the skills to develop safer and more efficient waste management practices.The authors of Modeling of the Whole Lifecycle Dioxins for Municipal Solid Waste Incineration: Numerical Simulation and AI-Driven Method explore the complex interplay...

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. The book is divided into two parts: methodology and practical application in dioxin emission mo...