Five-Layer Intelligence of the Machine Brain

Abstract

Research on Intelligent Manufacturing (RIM) publishes the latest developments and applications of research in intelligent manufacturing-rapidly, informally and in high quality. It combines theory and practice to analyse related cases in fields including but not limited to:Intelligent design theory and technologies Intelligent manufacturing equipment and technologies Intelligent sensing and control technologies Intelligent manufacturing systems and services This book series aims to address hot technological spots and solve challenging problems in the field of intelligent manufacturing. It brings together scientists and engineers working in all related branches from both East and West, under the support of national strategies like Industry 4.0 and Made in China 2025. With its wide coverage in all related branches, such as Industrial Internet of Things (IoT), Cloud Computing, 3D Printing and Virtual Reality Technology, we hope this book series can provide the researchers with a scientific platform to exchange and share the latest findings, ideas, and advances, and to chart the frontiers of intelligent manufacturing.The series' scope includes monographs, professional books and graduate textbooks, edited volumes, and reference works intended to support education in related areas at the graduate and post-graduate levels.More information about this series at https://link.springer.com/bookseries/15516

Machine learning brings new insights for reducing salinization disaster

“…A sketch of the learning processes is shown in Figure 2, which construct cells in the machine brain (O'Doherty et al, 2011;Wang et al, 2020;Wang et al, 2021;Wang et al, 2022). We can understand the LSTM learning process with the cells' states.…”