Hua Xu – författare

Intelligent Evolutionary Optimization introduces biologically-inspired intelligent optimization algorithms to address complex optimization problems and provide practical solutions for tackling combinatorial optimization problems. The book explores efficient search and optimization methods in high-dimensional spaces, particularly for high-dimensional multi-objective optimization problems, offering practical guidance and effective solutions across various domains. Providing practical solutions, methods, and tools to tackle complex optimization problems and enhance modern optimization techniques, this book will be a valuable resource for professionals seeking to enhance their understanding and proficiency in intelligent evolutionary optimization.. Introduces biologically-inspired intelligent optimization algorithms capable of effectively solving complex optimization problems, teaching readers how to apply these algorithms and improve existing optimization techniques. Explores multi-objective optimization problems in high-dimensional spaces for readers to understand how to perform efficient search and optimization, acquiring strategies and tools adapted to high-dimensional environments. Presents the practical applications of intelligent evolutionary optimization in various fields to help readers gain insights into the latest trends and application scenarios in the field and receive practical guidance and solutions

This textbook covers broad topics within the application of natural language processing (NLP) in biomedicine, and provides in-depth review of the NLP solutions that reveal information embedded in biomedical text.

This book constitutes the refereed proceedings of the evaluation track of the 9th China Health Information Processing Conference, CHIP 2023, held in Hangzhou, China, during October 27–29, 2023. The 15 algorithms papers and 6 overview papers included in this book were carefully reviewed and selected from a total of 66 submissions to the conference. They were organized in topical sections as follows: CHIP-PromptCBLUE Medical Large Model Evaluation; Chinese Medical Text Few-shot Named Entity Recognition; Drug Paper Document Recognition and Entity Relation Extraction; CHIP-YIER Medical Large Model Evaluation; Medical Literature PICOS Identification; Chinese Diabetes Question Classification;

Natural interaction is one of the hottest research issues in human-computer interaction. Focusing on human-computer understanding based on deep learning methods, the book systematically introduces readers to intention recognition, unknown intention detection, and new intention discovery in human-computer dialogue.

The natural interaction ability between human and machine mainly involves human-machine dialogue ability, multi-modal sentiment analysis ability, human-machine cooperation ability, and so on.

The natural interaction ability between human and machine mainly involves human-machine dialogue ability, multi-modal sentiment analysis ability, human-machine cooperation ability, and so on.