Mingming Zhao – författare

This book focuses on the morphology, exine ornamentation and the associated evolutionary trends of crabapple pollen and anatomical developmental patterns. To examine the genetic evolutionary patterns of crabapple pollen traits, we constructed an interval distribution function based on characteristic pollen parameters and used a binary trivariate data matrix (Xi Yi Zi) to reflect the exine ornamentation regularity of the pollen. Our findings should inform the taxonomic status of the genus Malus.Pollen electron micrographs from a total of 26 species and 81 cultivars of Malus were recorded in this book. All 107 figures and 642 scanned pollen images constitute primary data obtained by the authors. The images in this book are clear, three-dimensional, and aesthetically pleasing. They are accompanied with text descriptions and provided a method for the indication of the different types of information that can be expected.This book can provide a reference for scientific researchers, students, and teachers in tertiary institutions that are engaged in research concerning crabapple production.

This book focuses on the morphology, exine ornamentation and the associated evolutionary trends of crabapple pollen and anatomical developmental patterns. To examine the genetic evolutionary patterns of crabapple pollen traits, we constructed an interval distribution function based on characteristic pollen parameters and used a binary trivariate data matrix (Xi Yi Zi) to reflect the exine ornamentation regularity of the pollen. Our findings should inform the taxonomic status of the genus Malus.Pollen electron micrographs from a total of 26 species and 81 cultivars of Malus were recorded in this book. All 107 figures and 642 scanned pollen images constitute primary data obtained by the authors. The images in this book are clear, three-dimensional, and aesthetically pleasing. They are accompanied with text descriptions and provided a method for the indication of the different types of information that can be expected.This book can provide a reference for scientific researchers, students, and teachers in tertiary institutions that are engaged in research concerning crabapple production.

This book intends to report new optimal control results with critic intelligence for complex discrete-time systems, which covers the novel control theory, advanced control methods, and typical applications for wastewater treatment systems. Therein, combining with artificial intelligence techniques, such as neural networks and reinforcement learning, the novel intelligent critic control theory as well as a series of advanced optimal regulation and trajectory tracking strategies are established for discrete-time nonlinear systems, followed by application verifications to complex wastewater treatment processes. Consequently, developing such kind of critic intelligence approaches is of great significance for nonlinear optimization and wastewater recycling. The book is likely to be of interest to researchers and practitioners as well as graduate students in automation, computer science, and process industry who wish to learn core principles, methods, algorithms, and applications in the field of intelligent optimal control. It is beneficial to promote the development of intelligent optimal control approaches and the construction of high-level intelligent systems.

This book intends to report new optimal control results with critic intelligence for complex discrete-time systems, which covers the novel control theory, advanced control methods, and typical applications for wastewater treatment systems. Therein, combining with artificial intelligence techniques, such as neural networks and reinforcement learning, the novel intelligent critic control theory as well as a series of advanced optimal regulation and trajectory tracking strategies are established for discrete-time nonlinear systems, followed by application verifications to complex wastewater treatment processes. Consequently, developing such kind of critic intelligence approaches is of great significance for nonlinear optimization and wastewater recycling. The book is likely to be of interest to researchers and practitioners as well as graduate students in automation, computer science, and process industry who wish to learn core principles, methods, algorithms, and applications in the field of intelligent optimal control. It is beneficial to promote the development of intelligent optimal control approaches and the construction of high-level intelligent systems.